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@inproceedings{DBLP:conf/uai/0001CC22,
author = {Jungtaek Kim and
Seungjin Choi and
Minsu Cho},
editor = {James Cussens and
Kun Zhang},
title = {Combinatorial Bayesian optimization with random mapping functions
to convex polytopes},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1001--1011},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/kim22a.html},
timestamp = {Sat, 15 Oct 2022 12:08:13 +0200},
biburl = {https://dblp.org/rec/conf/uai/0001CC22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/0001VTDMK22,
author = {Zhongjie Yu and
Fabrizio Ventola and
Nils Thoma and
Devendra Singh Dhami and
Martin Mundt and
Kristian Kersting},
editor = {James Cussens and
Kun Zhang},
title = {Predictive Whittle networks for time series},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {2320--2330},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/yu22b.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/0001VTDMK22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/00020ZHC22,
author = {Xinwei Shen and
Shengyu Zhu and
Jiji Zhang and
Shoubo Hu and
Zhitang Chen},
editor = {James Cussens and
Kun Zhang},
title = {Reframed {GES} with a neural conditional dependence measure},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1782--1791},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/shen22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/00020ZHC22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/0002BDD22,
author = {Yuyang Shi and
Valentin De Bortoli and
George Deligiannidis and
Arnaud Doucet},
editor = {James Cussens and
Kun Zhang},
title = {Conditional simulation using diffusion Schr{\"{o}}dinger bridges},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1792--1802},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/shi22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/0002BDD22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/0002SD0K22,
author = {Rui Yan and
Gabriel Santos and
Xiaoming Duan and
David Parker and
Marta Kwiatkowska},
editor = {James Cussens and
Kun Zhang},
title = {Finite-horizon equilibria for neuro-symbolic concurrent stochastic
games},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {2170--2180},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/yan22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/0002SD0K22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/0002Z0LL22,
author = {Xutong Liu and
Haoru Zhao and
Tong Yu and
Shuai Li and
John C. S. Lui},
editor = {James Cussens and
Kun Zhang},
title = {Federated online clustering of bandits},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1221--1231},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/liu22a.html},
timestamp = {Mon, 21 Aug 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/0002Z0LL22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/0004NL0TP22,
author = {Tuan Nguyen and
Van Nguyen and
Trung Le and
He Zhao and
Quan Hung Tran and
Dinh Q. Phung},
editor = {James Cussens and
Kun Zhang},
title = {Cycle class consistency with distributional optimal transport and
knowledge distillation for unsupervised domain adaptation},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1519--1529},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/nguyen22c.html},
timestamp = {Thu, 29 Jun 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/0004NL0TP22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/0006MFHPP22,
author = {Lu Yin and
Vlado Menkovski and
Meng Fang and
Tianjin Huang and
Yulong Pei and
Mykola Pechenizkiy},
editor = {James Cussens and
Kun Zhang},
title = {Superposing many tickets into one: {A} performance booster for sparse
neural network training},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {2267--2277},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/yin22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/0006MFHPP22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/0009FB22,
author = {Yao Liu and
Yannis Flet{-}Berliac and
Emma Brunskill},
editor = {James Cussens and
Kun Zhang},
title = {Offline policy optimization with eligible actions},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1253--1263},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/liu22d.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/0009FB22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/0009W022,
author = {Yichen Yang and
Xiaosen Wang and
Kun He},
editor = {James Cussens and
Kun Zhang},
title = {Robust textual embedding against word-level adversarial attacks},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {2214--2224},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/yang22c.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/0009W022.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/0011SP022,
author = {Zhipeng Huang and
Hadeel Soliman and
Subhadeep Paul and
Kevin S. Xu},
editor = {James Cussens and
Kun Zhang},
title = {A mutually exciting latent space Hawkes process model for continuous-time
networks},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {863--873},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/huang22b.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/0011SP022.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/AbeSI22,
author = {Kenshi Abe and
Mitsuki Sakamoto and
Atsushi Iwasaki},
editor = {James Cussens and
Kun Zhang},
title = {Mutation-driven follow the regularized leader for last-iterate convergence
in zero-sum games},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1--10},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/abe22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/AbeSI22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/AgarwalBA22,
author = {Mridul Agarwal and
Qinbo Bai and
Vaneet Aggarwal},
editor = {James Cussens and
Kun Zhang},
title = {Regret guarantees for model-based reinforcement learning with long-term
average constraints},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {22--31},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/agarwal22b.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/AgarwalBA22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/AgarwalKID22,
author = {Sakshi Agarwal and
Kalev Kask and
Alexander Ihler and
Rina Dechter},
editor = {James Cussens and
Kun Zhang},
title = {NeuroBE: Escalating neural network approximations of Bucket Elimination},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {11--21},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/agarwal22a.html},
timestamp = {Tue, 06 Dec 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/uai/AgarwalKID22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/AgiolloO22,
author = {Andrea Agiollo and
Andrea Omicini},
editor = {James Cussens and
Kun Zhang},
title = {{GNN2GNN:} Graph neural networks to generate neural networks},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {32--42},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/agiollo22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/AgiolloO22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/AhmedWCB22,
author = {Kareem Ahmed and
Eric Wang and
Kai{-}Wei Chang and
Guy Van den Broeck},
editor = {James Cussens and
Kun Zhang},
title = {Neuro-symbolic entropy regularization},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {43--53},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/ahmed22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/AhmedWCB22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/AhsanFAZ22,
author = {Ragib Ahsan and
Zahra Fatemi and
David Arbour and
Elena Zheleva},
editor = {James Cussens and
Kun Zhang},
title = {Non-parametric inference of relational dependence},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {54--63},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/ahsan22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/AhsanFAZ22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/AlfarraBTG22,
author = {Motasem Alfarra and
Adel Bibi and
Philip H. S. Torr and
Bernard Ghanem},
editor = {James Cussens and
Kun Zhang},
title = {Data dependent randomized smoothing},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {64--74},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/alfarra22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/AlfarraBTG22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/AlloucheLY22,
author = {Tahar Allouche and
J{\'{e}}r{\^{o}}me Lang and
Florian Yger},
editor = {James Cussens and
Kun Zhang},
title = {Multi-winner approval voting goes epistemic},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {75--84},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/allouche22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/AlloucheLY22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/Andriushchenko022,
author = {Roman Andriushchenko and
Milan Ceska and
Sebastian Junges and
Joost{-}Pieter Katoen},
editor = {James Cussens and
Kun Zhang},
title = {Inductive synthesis of finite-state controllers for POMDPs},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {85--95},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/andriushchenko22a.html},
timestamp = {Mon, 05 Feb 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/uai/Andriushchenko022.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/AssaadDG22,
author = {Charles K. Assaad and
Emilie Devijver and
{\'{E}}ric Gaussier},
editor = {James Cussens and
Kun Zhang},
title = {Discovery of extended summary graphs in time series},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {96--106},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/assaad22a.html},
timestamp = {Tue, 21 Mar 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/uai/AssaadDG22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/BaiseroDA22,
author = {Andrea Baisero and
Brett Daley and
Christopher Amato},
editor = {James Cussens and
Kun Zhang},
title = {Asymmetric {DQN} for partially observable reinforcement learning},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {107--117},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/baisero22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/BaiseroDA22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/Bao0MX22,
author = {Yajie Bao and
Weidong Liu and
Xiaojun Mao and
Weijia Xiong},
editor = {James Cussens and
Kun Zhang},
title = {Byzantine-tolerant distributed multiclass sparse linear discriminant
analysis},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {129--138},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/bao22b.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/Bao0MX22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/BaoCJGSJ22,
author = {Tianshu Bao and
Shengyu Chen and
Taylor T. Johnson and
Peyman Givi and
Shervin Sammak and
Xiaowei Jia},
editor = {James Cussens and
Kun Zhang},
title = {Physics guided neural networks for spatio-temporal super-resolution
of turbulent flows},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {118--128},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/bao22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/BaoCJGSJ22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/BartunovFL22,
author = {Sergey Bartunov and
Fabian B. Fuchs and
Timothy P. Lillicrap},
editor = {James Cussens and
Kun Zhang},
title = {Equilibrium aggregation: encoding sets via optimization},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {139--149},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/bartunov22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/BartunovFL22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/BenzR22,
author = {Nina L. Corvelo Benz and
Manuel Gomez Rodriguez},
editor = {James Cussens and
Kun Zhang},
title = {Counterfactual inference of second Opinions},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {453--463},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/corvelo-benz22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/BenzR22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/BerenbrinkCGMMR22,
author = {Petra Berenbrink and
Colin Cooper and
Cristina Gava and
David Kohan Marzag{\~{a}}o and
Frederik Mallmann{-}Trenn and
Tomasz Radzik},
editor = {James Cussens and
Kun Zhang},
title = {On early extinction and the effect of travelling in the {SIR} model},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {159--169},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/berenbrink22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/BerenbrinkCGMMR22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/BesserveS22,
author = {Michel Besserve and
Bernhard Sch{\"{o}}lkopf},
editor = {James Cussens and
Kun Zhang},
title = {Learning soft interventions in complex equilibrium systems},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {170--180},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/besserve22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/BesserveS22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/BhatA22,
author = {Sanjay P. Bhat and
Chaitanya Amballa},
editor = {James Cussens and
Kun Zhang},
title = {Identifying near-optimal decisions in linear-in-parameter bandit models
with continuous decision sets},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {181--190},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/bhat22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/BhatA22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/BhattF022,
author = {Sujay Bhatt and
Guanhua Fang and
Ping Li},
editor = {James Cussens and
Kun Zhang},
title = {Offline change detection under contamination},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {191--201},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/bhatt22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/BhattF022.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/BhattacharyaN22,
author = {Rohit Bhattacharya and
Razieh Nabi},
editor = {James Cussens and
Kun Zhang},
title = {On testability of the front-door model via Verma constraints},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {202--212},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/bhattacharya22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/BhattacharyaN22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/BlomM22,
author = {Tineke Blom and
Joris M. Mooij},
editor = {James Cussens and
Kun Zhang},
title = {Robustness of model predictions under extension},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {213--222},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/blom22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/BlomM22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/BonjourAB22,
author = {Trevor Bonjour and
Vaneet Aggarwal and
Bharat K. Bhargava},
editor = {James Cussens and
Kun Zhang},
title = {Information theoretic approach to detect collusion in multi-agent
games},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {223--232},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/bonjour22a.html},
timestamp = {Mon, 26 Jun 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/BonjourAB22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/BraunGL022,
author = {Tanya Braun and
Marcel Gehrke and
Florian Lau and
Ralf M{\"{o}}ller},
editor = {James Cussens and
Kun Zhang},
title = {Lifting in multi-agent systems under uncertainty},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {233--243},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/braun22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/BraunGL022.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/BrazdilK0M0R22,
author = {Tom{\'{a}}s Br{\'{a}}zdil and
David Klaska and
Anton{\'{\i}}n Kucera and
V{\'{\i}}t Musil and
Petr Novotn{\'{y}} and
Vojtech Reh{\'{a}}k},
editor = {James Cussens and
Kun Zhang},
title = {On-the-fly adaptation of patrolling strategies in changing environments},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {244--254},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/brazdil22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/BrazdilK0M0R22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/BronsteinBG22,
author = {Ido Bronstein and
Alon Brutzkus and
Amir Globerson},
editor = {James Cussens and
Kun Zhang},
title = {On the inductive bias of neural networks for learning read-once DNFs},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {255--265},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/bronstein22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/BronsteinBG22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/CaiJHYX22,
author = {Difeng Cai and
Yuliang Ji and
Huan He and
Qiang Ye and
Yuanzhe Xi},
editor = {James Cussens and
Kun Zhang},
title = {{AUTM} flow: atomic unrestricted time machine for monotonic normalizing
flows},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {266--274},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/cai22a.html},
timestamp = {Mon, 05 Feb 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/uai/CaiJHYX22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/CaoL22,
author = {Yiting Cao and
Chao Lan},
editor = {James Cussens and
Kun Zhang},
title = {Active approximately metric-fair learning},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {275--285},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/cao22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/CaoL22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/ChapfuwaRCMH22,
author = {Paidamoyo Chapfuwa and
Sherri Rose and
Lawrence Carin and
Edward Meeds and
Ricardo Henao},
editor = {James Cussens and
Kun Zhang},
title = {Capturing actionable dynamics with structured latent ordinary differential
equations},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {286--295},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/chapfuwa22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/ChapfuwaRCMH22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/ChaudhuriGR22,
author = {Kamalika Chaudhuri and
Chuan Guo and
Mike Rabbat},
editor = {James Cussens and
Kun Zhang},
title = {Privacy-aware compression for federated data analysis},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {296--306},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/chaudhuri22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/ChaudhuriGR22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/ChehabGH22,
author = {Omar Chehab and
Alexandre Gramfort and
Aapo Hyv{\"{a}}rinen},
editor = {James Cussens and
Kun Zhang},
title = {The optimal noise in noise-contrastive learning is not what you think},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {307--316},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/chehab22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/ChehabGH22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/Chen022,
author = {Jinglin Chen and
Nan Jiang},
editor = {James Cussens and
Kun Zhang},
title = {Offline reinforcement learning under value and density-ratio realizability:
The power of gaps},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {378--388},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/chen22g.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/Chen022.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/ChenD22,
author = {Yizuo Chen and
Adnan Darwiche},
editor = {James Cussens and
Kun Zhang},
title = {On the definition and computation of causal treewidth},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {368--377},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/chen22f.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/ChenD22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/ChenFAZSFR22,
author = {Mayee F. Chen and
Daniel Y. Fu and
Dyah Adila and
Michael Zhang and
Frederic Sala and
Kayvon Fatahalian and
Christopher R{\'{e}}},
editor = {James Cussens and
Kun Zhang},
title = {Shoring up the foundations: fusing model embeddings and weak supervision},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {357--367},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/chen22e.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/ChenFAZSFR22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/ChenLYD22,
author = {Qi Chen and
Kai Liu and
Ruilong Yao and
Hu Ding},
editor = {James Cussens and
Kun Zhang},
title = {Sublinear time algorithms for greedy selection in high dimensions},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {346--356},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/chen22d.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/ChenLYD22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/ChenSK22,
author = {John Chen and
Samarth Sinha and
Anastasios Kyrillidis},
editor = {James Cussens and
Kun Zhang},
title = {Stackmix: a complementary mix algorithm},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {326--335},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/chen22b.html},
timestamp = {Mon, 06 Nov 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/uai/ChenSK22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/ChenT0XY22,
author = {Mengjing Chen and
Pingzhong Tang and
Zihe Wang and
Shenke Xiao and
Xiwang Yang},
editor = {James Cussens and
Kun Zhang},
title = {A competitive analysis of online failure-aware assignment},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {317--325},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/chen22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/ChenT0XY22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/ChenZGSH22,
author = {Xinyuan Chen and
Zhongmei Zhou and
Meichun Gao and
Daya Shi and
Mohd Nizam Husen},
editor = {James Cussens and
Kun Zhang},
title = {Knowledge representation combining quaternion path integration and
depth-wise atrous circular convolution},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {336--345},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/chen22c.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/ChenZGSH22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/ChengBHT022,
author = {Runxiang Cheng and
Gargi Balasubramaniam and
Yifei He and
Yao{-}Hung Hubert Tsai and
Han Zhao},
editor = {James Cussens and
Kun Zhang},
title = {Greedy modality selection via approximate submodular maximization},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {389--399},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/cheng22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/ChengBHT022.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/ChikaharaYK22,
author = {Yoichi Chikahara and
Makoto Yamada and
Hisashi Kashima},
editor = {James Cussens and
Kun Zhang},
title = {Feature selection for discovering distributional treatment effect
modifiers},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {400--410},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/chikahara22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/ChikaharaYK22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/ChoiL22,
author = {Kwanghee Choi and
Siyeong Lee},
editor = {James Cussens and
Kun Zhang},
title = {Combating the instability of mutual information-based losses via regularization},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {411--421},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/choi22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/ChoiL22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/Chouraqui0EL22,
author = {Gabriella Chouraqui and
Liron Cohen and
Gil Einziger and
Liel Leman},
editor = {James Cussens and
Kun Zhang},
title = {A geometric method for improved uncertainty estimation in real-time},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {422--432},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/chouraqui22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/Chouraqui0EL22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/ChunLK22,
author = {Sewhan Chun and
Jae Young Lee and
Junmo Kim},
editor = {James Cussens and
Kun Zhang},
title = {Cyclic test time augmentation with entropy weight method},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {433--442},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/chun22a.html},
timestamp = {Fri, 03 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/ChunLK22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/ClaassenB22,
author = {Tom Claassen and
Ioan Gabriel Bucur},
editor = {James Cussens and
Kun Zhang},
title = {Greedy equivalence search in the presence of latent confounders},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {443--452},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/claassen22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/ClaassenB22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/CuiWGTJ22,
author = {Zijun Cui and
Hanjing Wang and
Tian Gao and
Kartik Talamadupula and
Qiang Ji},
editor = {James Cussens and
Kun Zhang},
title = {Variational message passing neural network for Maximum-A-Posteriori
{(MAP)} inference},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {464--474},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/cui22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/CuiWGTJ22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/DaiCYLJ22,
author = {Zhongxiang Dai and
Yizhou Chen and
Haibin Yu and
Bryan Kian Hsiang Low and
Patrick Jaillet},
editor = {James Cussens and
Kun Zhang},
title = {On provably robust meta-Bayesian optimization},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {475--485},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/dai22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/DaiCYLJ22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/DasAHSDT22,
author = {Rudrajit Das and
Anish Acharya and
Abolfazl Hashemi and
Sujay Sanghavi and
Inderjit S. Dhillon and
Ufuk Topcu},
editor = {James Cussens and
Kun Zhang},
title = {Faster non-convex federated learning via global and local momentum},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {496--506},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/das22b.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/DasAHSDT22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/DasDG0G22,
author = {Shantanu Das and
Swapnil Dhamal and
Ganesh Ghalme and
Shweta Jain and
Sujit Gujar},
editor = {James Cussens and
Kun Zhang},
title = {Individual fairness in feature-based pricing for monopoly markets},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {486--495},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/das22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/DasDG0G22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/DaultonEBB22,
author = {Samuel Daulton and
David Eriksson and
Maximilian Balandat and
Eytan Bakshy},
editor = {James Cussens and
Kun Zhang},
title = {Multi-objective Bayesian optimization over high-dimensional search
spaces},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {507--517},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/daulton22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/DaultonEBB22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/DeleuGERLBB22,
author = {Tristan Deleu and
Ant{\'{o}}nio G{\'{o}}is and
Chris Emezue and
Mansi Rankawat and
Simon Lacoste{-}Julien and
Stefan Bauer and
Yoshua Bengio},
editor = {James Cussens and
Kun Zhang},
title = {Bayesian structure learning with generative flow networks},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {518--528},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/deleu22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/DeleuGERLBB22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/DengM22,
author = {Grace Deng and
David S. Matteson},
editor = {James Cussens and
Kun Zhang},
title = {Bayesian spillover graphs for dynamic networks},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {529--538},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/deng22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/DengM22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/DenisDS22,
author = {Christophe Denis and
Charlotte Dion{-}Blanc and
Laure Sansonnet},
editor = {James Cussens and
Kun Zhang},
title = {Multiclass classification for Hawkes processes},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {539--547},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/denis22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/DenisDS22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/DiGiovanniT22,
author = {Anthony DiGiovanni and
Ambuj Tewari},
editor = {James Cussens and
Kun Zhang},
title = {Balancing adaptability and non-exploitability in repeated games},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {559--568},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/digiovanni22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/DiGiovanniT22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/DinariF22,
author = {Or Dinari and
Oren Freifeld},
editor = {James Cussens and
Kun Zhang},
title = {Variational- and metric-based deep latent space for out-of-distribution
detection},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {569--578},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/dinari22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/DinariF22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/DinariF22a,
author = {Or Dinari and
Oren Freifeld},
editor = {James Cussens and
Kun Zhang},
title = {Revisiting DP-Means: fast scalable algorithms via parallelism and
delayed cluster creation},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {579--588},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/dinari22b.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/DinariF22a.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/DingX22,
author = {Fan Ding and
Yexiang Xue},
editor = {James Cussens and
Kun Zhang},
title = {{X-MEN:} guaranteed XOR-maximum entropy constrained inverse reinforcement
learning},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {589--598},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/ding22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/DingX22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/DubeyVPK22,
author = {Punit Pankaj Dubey and
Bhisham Dev Verma and
Rameshwar Pratap and
Keegan Kang},
editor = {James Cussens and
Kun Zhang},
title = {Improving sign-random-projection via count sketch},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {599--609},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/dubey22a.html},
timestamp = {Sat, 30 Sep 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/DubeyVPK22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/DunWJK22,
author = {Chen Dun and
Cameron R. Wolfe and
Christopher M. Jermaine and
Anastasios Kyrillidis},
editor = {James Cussens and
Kun Zhang},
title = {ResIST: Layer-wise decomposition of ResNets for distributed training},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {610--620},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/dun22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/DunWJK22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/Embar0G22,
author = {Varun Embar and
Sriram Srinivasan and
Lise Getoor},
editor = {James Cussens and
Kun Zhang},
title = {Learning explainable templated graphical models},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {621--630},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/embar22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/Embar0G22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/ErikssonBAD22,
author = {Hannes Eriksson and
Debabrota Basu and
Mina Alibeigi and
Christos Dimitrakakis},
editor = {James Cussens and
Kun Zhang},
title = {{SENTINEL:} taming uncertainty with ensemble based distributional
reinforcement learning},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {631--640},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/eriksson22a.html},
timestamp = {Wed, 07 Dec 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/uai/ErikssonBAD22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/ErraqabiMZSLDB22,
author = {Akram Erraqabi and
Marlos C. Machado and
Mingde Zhao and
Sainbayar Sukhbaatar and
Alessandro Lazaric and
Ludovic Denoyer and
Yoshua Bengio},
editor = {James Cussens and
Kun Zhang},
title = {Temporal abstractions-augmented temporally contrastive learning: An
alternative to the Laplacian in {RL}},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {641--651},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/erraqabi22a.html},
timestamp = {Sat, 30 Sep 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/ErraqabiMZSLDB22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/FalkCP22,
author = {John Isak Texas Falk and
Carlo Ciliberto and
Massimiliano Pontil},
editor = {James Cussens and
Kun Zhang},
title = {Implicit kernel meta-learning using kernel integral forms},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {652--662},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/falk22a.html},
timestamp = {Sat, 30 Sep 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/FalkCP22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/FathullahG22,
author = {Yassir Fathullah and
Mark J. F. Gales},
editor = {James Cussens and
Kun Zhang},
title = {Self-distribution distillation: efficient uncertainty estimation},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {663--673},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/fathullah22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/FathullahG22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/FengPPSPG22,
author = {Jean Feng and
Gene Pennello and
Nicholas Petrick and
Berkman Sahiner and
Romain Pirracchio and
Alexej Gossmann},
editor = {James Cussens and
Kun Zhang},
title = {Sequential algorithmic modification with test data reuse},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {674--684},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/feng22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/FengPPSPG22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/GargGCGASN22,
author = {Sahil Garg and
Umang Gupta and
Yu Chen and
Syamantak Datta Gupta and
Yeshaya Adler and
Anderson Schneider and
Yuriy Nevmyvaka},
editor = {James Cussens and
Kun Zhang},
title = {Estimating transfer entropy under long ranged dependencies},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {685--695},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/garg22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/GargGCGASN22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/GhalebikesabiWJ22,
author = {Sahra Ghalebikesabi and
Harry Wilde and
Jack Jewson and
Arnaud Doucet and
Sebastian J. Vollmer and
Chris C. Holmes},
editor = {James Cussens and
Kun Zhang},
title = {Mitigating statistical bias within differentially private synthetic
data},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {696--705},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/ghalebikesabi22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/GhalebikesabiWJ22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/GhoshWLN22,
author = {Supriyo Ghosh and
Laura Wynter and
Shiau Hong Lim and
Duc Thien Nguyen},
editor = {James Cussens and
Kun Zhang},
title = {Neural-progressive hedging: Enforcing constraints in reinforcement
learning with stochastic programming},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {707--717},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/ghosh22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/GhoshWLN22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/GlazunovZ22,
author = {Misha Glazunov and
Apostolis Zarras},
editor = {James Cussens and
Kun Zhang},
title = {Do Bayesian variational autoencoders know what they don't know?},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {718--727},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/glazunov22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/GlazunovZ22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/GoI22,
author = {Jinwoo Go and
Tobin Isaac},
editor = {James Cussens and
Kun Zhang},
title = {Robust expected information gain for optimal Bayesian experimental
design using ambiguity sets},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {728--737},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/go22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/GoI22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/GubriCPTS22,
author = {Martin Gubri and
Maxime Cordy and
Mike Papadakis and
Yves Le Traon and
Koushik Sen},
editor = {James Cussens and
Kun Zhang},
title = {Efficient and transferable adversarial examples from bayesian neural
networks},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {738--748},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/gubri22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/GubriCPTS22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/GuptaSBL22,
author = {Soumyajit Gupta and
Gurpreet Singh and
Raghu Bollapragada and
Matthew Lease},
editor = {James Cussens and
Kun Zhang},
title = {Learning a neural Pareto manifold extractor with constraints},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {749--758},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/gupta22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/GuptaSBL22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/HasanEN0FBT22,
author = {Ali Hasan and
Khalil Elkhalil and
Yuting Ng and
Jo{\~{a}}o M. Pereira and
Sina Farsiu and
Jose H. Blanchet and
Vahid Tarokh},
editor = {James Cussens and
Kun Zhang},
title = {Modeling extremes with d-max-decreasing neural networks},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {759--768},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/hasan22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/HasanEN0FBT22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/HattTF22,
author = {Tobias Hatt and
Daniel Tschernutter and
Stefan Feuerriegel},
editor = {James Cussens and
Kun Zhang},
title = {Generalizing off-policy learning under sample selection bias},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {769--779},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/hatt22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/HattTF22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/HeDB22,
author = {Keyang He and
Prashant Doshi and
Bikramjit Banerjee},
editor = {James Cussens and
Kun Zhang},
title = {Reinforcement learning in many-agent settings under partial observability},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {780--789},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/he22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/HeDB22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/HegdeYLKH22,
author = {Pashupati Hegde and
{\c{C}}agatay Yildiz and
Harri L{\"{a}}hdesm{\"{a}}ki and
Samuel Kaski and
Markus Heinonen},
editor = {James Cussens and
Kun Zhang},
title = {Variational multiple shooting for Bayesian ODEs with Gaussian processes},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {790--799},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/hegde22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/HegdeYLKH22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/HerinPS22,
author = {Margot Herin and
Patrice Perny and
Nataliya Sokolovska},
editor = {James Cussens and
Kun Zhang},
title = {Learning sparse representations of preferences within Choquet expected
utility theory},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {800--810},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/herin22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/HerinPS22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/HiranandaniMNK22,
author = {Gaurush Hiranandani and
Jatin Mathur and
Harikrishna Narasimhan and
Oluwasanmi Koyejo},
editor = {James Cussens and
Kun Zhang},
title = {Quadratic metric elicitation for fairness and beyond},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {811--821},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/hiranandani22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/HiranandaniMNK22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/HobbhahnKH22,
author = {Marius Hobbhahn and
Agustinus Kristiadi and
Philipp Hennig},
editor = {James Cussens and
Kun Zhang},
title = {Fast predictive uncertainty for classification with Bayesian deep
networks},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {822--832},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/hobbhahn22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/HobbhahnKH22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/Hosoya22,
author = {Haruo Hosoya},
editor = {James Cussens and
Kun Zhang},
title = {{CIGMO:} Categorical invariant representations in a deep generative
framework},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {833--843},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/hosoya22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/Hosoya22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/Hu022,
author = {Bingshan Hu and
Nidhi Hegde},
editor = {James Cussens and
Kun Zhang},
title = {Near-optimal Thompson sampling-based algorithms for differentially
private stochastic bandits},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {844--852},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/hu22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/Hu022.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/HuangSRB22,
author = {Kexin Huang and
Vishnu Sresht and
Brajesh K. Rai and
Mykola Bordyuh},
editor = {James Cussens and
Kun Zhang},
title = {Uncertainty-aware pseudo-labeling for quantum calculations},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {853--862},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/huang22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/HuangSRB22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/HullermeierDS22,
author = {Eyke H{\"{u}}llermeier and
S{\'{e}}bastien Destercke and
Mohammad Hossein Shaker},
editor = {James Cussens and
Kun Zhang},
title = {Quantification of Credal Uncertainty in Machine Learning: {A} Critical
Analysis and Empirical Comparison},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {548--557},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/hullermeier22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/HullermeierDS22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/HyttinenPH22,
author = {Antti Hyttinen and
Vit{\'{o}}ria Barin Pacela and
Aapo Hyv{\"{a}}rinen},
editor = {James Cussens and
Kun Zhang},
title = {Binary independent component analysis: a non-stationarity-based approach},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {874--884},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/hyttinen22a.html},
timestamp = {Sat, 30 Sep 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/HyttinenPH22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/ImolaKWAT22,
author = {Jacob Imola and
Shiva Prasad Kasiviswanathan and
Stephen White and
Abhinav Aggarwal and
Nathanael Teissier},
editor = {James Cussens and
Kun Zhang},
title = {Balancing utility and scalability in metric differential privacy},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {885--894},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/imola22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/ImolaKWAT22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/JainVBSP22,
author = {Arushi Jain and
Sharan Vaswani and
Reza Babanezhad and
Csaba Szepesv{\'{a}}ari and
Doina Precup},
editor = {James Cussens and
Kun Zhang},
title = {Towards painless policy optimization for constrained MDPs},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {895--905},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/jain22a.html},
timestamp = {Wed, 07 Dec 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/uai/JainVBSP22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/JhunjhunwalaSNJ22,
author = {Divyansh Jhunjhunwala and
Pranay Sharma and
Aushim Nagarkatti and
Gauri Joshi},
editor = {James Cussens and
Kun Zhang},
title = {Fedvarp: Tackling the variance due to partial client participation
in federated learning},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {906--916},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/jhunjhunwala22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/JhunjhunwalaSNJ22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/JinYZ22,
author = {Hongwei Jin and
Zishun Yu and
Xinhua Zhang},
editor = {James Cussens and
Kun Zhang},
title = {Orthogonal Gromov-Wasserstein discrepancy with efficient lower bound},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {917--927},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/jin22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/JinYZ22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/JonesSKM22,
author = {Haydn T. Jones and
Jacob M. Springer and
Garrett T. Kenyon and
Juston S. Moore},
editor = {James Cussens and
Kun Zhang},
title = {If you've trained one you've trained them all: inter-architecture
similarity increases with robustness},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {928--937},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/jones22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/JonesSKM22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/KakarlapudiAEDS22,
author = {Anirudh Kakarlapudi and
Gayathri Anil and
Adam Eck and
Prashant Doshi and
Leen{-}Kiat Soh},
editor = {James Cussens and
Kun Zhang},
title = {Decision-theoretic planning with communication in open multiagent
systems},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {938--948},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/kakarlapudi22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/KakarlapudiAEDS22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/KalagarlaDS0NN22,
author = {Krishna Chaitanya Kalagarla and
Kartik Dhruva and
Dongming Shen and
Rahul Jain and
Ashutosh Nayyar and
Pierluigi Nuzzo},
editor = {James Cussens and
Kun Zhang},
title = {Optimal control of partially observable Markov decision processes
with finite linear temporal logic constraints},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {949--958},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/kalagarla22a.html},
timestamp = {Wed, 17 May 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/KalagarlaDS0NN22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/Kamulete22,
author = {Vathy M. Kamulete},
editor = {James Cussens and
Kun Zhang},
title = {Test for non-negligible adverse shifts},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {959--968},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/kamulete22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/Kamulete22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/KarczmarzM0SW22,
author = {Adam Karczmarz and
Tomasz P. Michalak and
Anish Mukherjee and
Piotr Sankowski and
Piotr Wygocki},
editor = {James Cussens and
Kun Zhang},
title = {Improved feature importance computation for tree models based on the
Banzhaf value},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {969--979},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/karczmarz22a.html},
timestamp = {Mon, 07 Nov 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/uai/KarczmarzM0SW22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/KashWZ22,
author = {Ian A. Kash and
Zhongkai Wen and
Lenore D. Zuck},
editor = {James Cussens and
Kun Zhang},
title = {Dynamic relocation in ridesharing via fixpoint construction},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {980--989},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/kash22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/KashWZ22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/KillianXBT22,
author = {Jackson A. Killian and
Lily Xu and
Arpita Biswas and
Milind Tambe},
editor = {James Cussens and
Kun Zhang},
title = {Restless and uncertain: Robust policies for restless bandits via deep
multi-agent reinforcement learning},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {990--1000},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/killian22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/KillianXBT22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/KireevAF22,
author = {Klim Kireev and
Maksym Andriushchenko and
Nicolas Flammarion},
editor = {James Cussens and
Kun Zhang},
title = {On the effectiveness of adversarial training against common corruptions},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1012--1021},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/kireev22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/KireevAF22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/KivvaMEK22,
author = {Yaroslav Kivva and
Ehsan Mokhtarian and
Jalal Etesami and
Negar Kiyavash},
editor = {James Cussens and
Kun Zhang},
title = {Revisiting the general identifiability problem},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1022--1030},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/kivva22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/KivvaMEK22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/Krak22,
author = {Thomas Krak},
editor = {James Cussens and
Kun Zhang},
title = {Hitting times for continuous-time imprecise-Markov chains},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1031--1040},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/krak22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/Krak22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/Kumar0LR22,
author = {Ananya Kumar and
Tengyu Ma and
Percy Liang and
Aditi Raghunathan},
editor = {James Cussens and
Kun Zhang},
title = {Calibrated ensembles can mitigate accuracy tradeoffs under distribution
shift},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1041--1051},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/kumar22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/Kumar0LR22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/LamAR22,
author = {Wai{-}Yin Lam and
Bryan Andrews and
Joseph D. Ramsey},
editor = {James Cussens and
Kun Zhang},
title = {Greedy relaxations of the sparsest permutation algorithm},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1052--1062},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/lam22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/LamAR22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/LangeBHP22,
author = {Richard D. Lange and
Ari S. Benjamin and
Ralf M. Haefner and
Xaq Pitkow},
editor = {James Cussens and
Kun Zhang},
title = {Interpolating between sampling and variational inference with infinite
stochastic mixtures},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1063--1073},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/lange22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/LangeBHP22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/Lee022,
author = {Hyemin Lee and
Daijin Kim},
editor = {James Cussens and
Kun Zhang},
title = {Systematized event-aware learning for multi-object tracking},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1074--1084},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/lee22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/Lee022.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/LeisenbergerP022,
author = {Harald Leisenberger and
Franz Pernkopf and
Christian Knoll},
editor = {James Cussens and
Kun Zhang},
title = {Fixing the Bethe approximation: How structural modifications in a
graph improve belief propagation},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1085--1095},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/leisenberger22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/LeisenbergerP022.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/LewCM22,
author = {Alexander K. Lew and
Marco F. Cusumano{-}Towner and
Vikash K. Mansinghka},
editor = {James Cussens and
Kun Zhang},
title = {Recursive Monte Carlo and variational inference with auxiliary variables},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1096--1106},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/lew22a.html},
timestamp = {Fri, 06 Jan 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/uai/LewCM22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/Li00X22,
author = {Naiqi Li and
Wenjie Li and
Yong Jiang and
Shu{-}Tao Xia},
editor = {James Cussens and
Kun Zhang},
title = {Deep Dirichlet process mixture models},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1138--1147},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/li22c.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/Li00X22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/LiBY22,
author = {Zihao Li and
Xiaohui Bei and
Zhenzhen Yan},
editor = {James Cussens and
Kun Zhang},
title = {Proportional allocation of indivisible resources under ordinal and
uncertain preferences},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1148--1157},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/li22d.html},
timestamp = {Fri, 22 Mar 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/uai/LiBY22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/LiDRB22,
author = {Weizhi Li and
Gautam Dasarathy and
Karthikeyan Natesan Ramamurthy and
Visar Berisha},
editor = {James Cussens and
Kun Zhang},
title = {A label efficient two-sample test},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1168--1177},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/li22f.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/LiDRB22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/LiJA22,
author = {Qiyang Li and
Ajay Jain and
Pieter Abbeel},
editor = {James Cussens and
Kun Zhang},
title = {AdaCat: Adaptive categorical discretization for autoregressive models},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1188--1198},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/li22h.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/LiJA22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/LiJMJCTV22,
author = {Zun Li and
Feiran Jia and
Aditya Mate and
Shahin Jabbari and
Mithun Chakraborty and
Milind Tambe and
Yevgeniy Vorobeychik},
editor = {James Cussens and
Kun Zhang},
title = {Solving structured hierarchical games using differential backward
induction},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1107--1117},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/li22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/LiJMJCTV22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/LiN0ZHC22,
author = {Wenjie Li and
Wasif Naeem and
Jia Liu and
Dequan Zheng and
Wei Hao and
Lijun Chen},
editor = {James Cussens and
Kun Zhang},
title = {PDQ-Net: Deep probabilistic dual quaternion network for absolute pose
regression on {SE(3)}},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1118--1127},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/li22b.html},
timestamp = {Sat, 30 Sep 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/LiN0ZHC22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/LiSR22,
author = {Wanshan Li and
Shamindra Shrotriya and
Alessandro Rinaldo},
editor = {James Cussens and
Kun Zhang},
title = {{\(\mathscr{l}\)}\({}_{\mbox{{\(\infty\)}}}\)-Bounds of the {MLE}
in the {BTL} Model under General Comparison Graphs},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1178--1187},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/li22g.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/LiSR22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/LiV22,
author = {Dexun Li and
Pradeep Varakantham},
editor = {James Cussens and
Kun Zhang},
title = {Efficient resource allocation with fairness constraints in restless
multi-armed bandits},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1158--1167},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/li22e.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/LiV22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/LindingerRL22,
author = {Jakob Lindinger and
Barbara Rakitsch and
Christoph Lippert},
editor = {James Cussens and
Kun Zhang},
title = {Laplace approximated Gaussian process state-space models},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1199--1209},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/lindinger22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/LindingerRL22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/LingX22,
author = {Yurong Ling and
Jing{-}Hao Xue},
editor = {James Cussens and
Kun Zhang},
title = {Dimension reduction for high-dimensional small counts with {KL} divergence},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1210--1220},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/ling22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/LingX22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/LiuCYFLL22,
author = {Zizhen Liu and
Si Chen and
Jing Ye and
Junfeng Fan and
Huawei Li and
Xiaowei Li},
editor = {James Cussens and
Kun Zhang},
title = {{SASH:} Efficient secure aggregation based on {SHPRG} for federated
learning},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1243--1252},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/liu22c.html},
timestamp = {Mon, 22 May 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/LiuCYFLL22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/LiuGWW22,
author = {Tianyi Liu and
Weihao Gao and
Zhirui Wang and
Chong Wang},
editor = {James Cussens and
Kun Zhang},
title = {PathFlow: {A} normalizing flow generator that finds transition paths},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1232--1242},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/liu22b.html},
timestamp = {Tue, 29 Nov 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/uai/LiuGWW22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/LoboSPRL22,
author = {Elita A. Lobo and
Harvineet Singh and
Marek Petrik and
Cynthia Rudin and
Himabindu Lakkaraju},
editor = {James Cussens and
Kun Zhang},
title = {Data poisoning attacks on off-policy policy evaluation methods},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1264--1274},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/lobo22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/LoboSPRL22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/LuPNN22,
author = {Chien Lu and
Jaakko Peltonen and
Timo Nummenmaa and
Jyrki Nummenmaa},
editor = {James Cussens and
Kun Zhang},
title = {Nonparametric exponential family graph embeddings for multiple representation
learning},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1275--1285},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/lu22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/LuPNN22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/LuoBBZWXSESP22,
author = {Rachel Luo and
Aadyot Bhatnagar and
Yu Bai and
Shengjia Zhao and
Huan Wang and
Caiming Xiong and
Silvio Savarese and
Stefano Ermon and
Edward Schmerling and
Marco Pavone},
editor = {James Cussens and
Kun Zhang},
title = {Local calibration: metrics and recalibration},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1286--1295},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/luo22a.html},
timestamp = {Sat, 15 Apr 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/LuoBBZWXSESP22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/Ma00JL22,
author = {Shaocong Ma and
Ziyi Chen and
Yi Zhou and
Kaiyi Ji and
Yingbin Liang},
editor = {James Cussens and
Kun Zhang},
title = {Data sampling affects the complexity of online {SGD} over dependent
data},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1296--1305},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/ma22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/Ma00JL22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/MaddoxPW22,
author = {Wesley J. Maddox and
Andres Potapczynski and
Andrew Gordon Wilson},
editor = {James Cussens and
Kun Zhang},
title = {Low-precision arithmetic for fast Gaussian processes},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1306--1316},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/maddox22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/MaddoxPW22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/MainiCLS22,
author = {Pratyush Maini and
Xinyun Chen and
Bo Li and
Dawn Song},
editor = {James Cussens and
Kun Zhang},
title = {Perturbation type categorization for multiple adversarial perturbation
robustness},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1317--1327},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/maini22a.html},
timestamp = {Thu, 05 Jan 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/uai/MainiCLS22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/MaitiNS22,
author = {Aurghya Maiti and
Vineet Nair and
Gaurav Sinha},
editor = {James Cussens and
Kun Zhang},
title = {A causal bandit approach to learning good atomic interventions in
presence of unobserved confounders},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1328--1338},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/maiti22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/MaitiNS22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/MatssonJ22,
author = {Anton Matsson and
Fredrik D. Johansson},
editor = {James Cussens and
Kun Zhang},
title = {Case-based off-policy evaluation using prototype learning},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1339--1349},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/matsson22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/MatssonJ22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/MaystreWSJ22,
author = {Lucas Maystre and
Tiffany Wu and
Roberto Sanchis{-}Ojeda and
Tony Jebara},
editor = {James Cussens and
Kun Zhang},
title = {Multistate analysis with infinite mixtures of Markov chains},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1350--1359},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/maystre22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/MaystreWSJ22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/MenonBV22,
author = {Sachit Menon and
David M. Blei and
Carl Vondrick},
editor = {James Cussens and
Kun Zhang},
title = {Forget-me-not! Contrastive critics for mitigating posterior collapse},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1360--1370},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/menon22a.html},
timestamp = {Fri, 26 May 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/MenonBV22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/MondalAU22,
author = {Washim Uddin Mondal and
Vaneet Aggarwal and
Satish V. Ukkusuri},
editor = {James Cussens and
Kun Zhang},
title = {Can mean field control (mfc) approximate cooperative multi agent reinforcement
learning (marl) with non-uniform interaction?},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1371--1380},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/mondal22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/MondalAU22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/MonteiroAHM22,
author = {Joao Monteiro and
Mohamed Osama Ahmed and
Hossein Hajimirsadeghi and
Greg Mori},
editor = {James Cussens and
Kun Zhang},
title = {Monotonicity regularization: Improved penalties and novel applications
to disentangled representation learning and robust classification},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1381--1391},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/monteiro22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/MonteiroAHM22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/MortierHDW22,
author = {Thomas Mortier and
Eyke H{\"{u}}llermeier and
Krzysztof Dembczynski and
Willem Waegeman},
editor = {James Cussens and
Kun Zhang},
title = {Set-valued prediction in hierarchical classification with constrained
representation complexity},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1392--1401},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/mortier22a.html},
timestamp = {Sun, 12 Nov 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/uai/MortierHDW22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/Mukherjee22,
author = {Subhojyoti Mukherjee},
editor = {James Cussens and
Kun Zhang},
title = {Safety aware changepoint detection for piecewise i.i.d. bandits},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1402--1412},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/mukherjee22a.html},
timestamp = {Wed, 07 Dec 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/uai/Mukherjee22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/MukherjeeHN22,
author = {Subhojyoti Mukherjee and
Josiah P. Hanna and
Robert D. Nowak},
editor = {James Cussens and
Kun Zhang},
title = {ReVar: Strengthening policy evaluation via reduced variance sampling},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1413--1422},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/mukherjee22b.html},
timestamp = {Wed, 07 Dec 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/uai/MukherjeeHN22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/MunkZSBSFPW22,
author = {Andreas Munk and
Berend Zwartsenberg and
Adam {\'{S}}cibior and
Atilim G{\"{u}}nes Baydin and
Andrew Stewart and
Goran Fernlund and
Anoush Poursartip and
Frank Wood},
editor = {James Cussens and
Kun Zhang},
title = {Probabilistic surrogate networks for simulators with unbounded randomness},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1423--1433},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/munk22a.html},
timestamp = {Tue, 25 Apr 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/MunkZSBSFPW22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/NabarroGGFWA22,
author = {Seth Nabarro and
Stoil Ganev and
Adri{\`{a}} Garriga{-}Alonso and
Vincent Fortuin and
Mark van der Wilk and
Laurence Aitchison},
editor = {James Cussens and
Kun Zhang},
title = {Data augmentation in Bayesian neural networks and the cold posterior
effect},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1434--1444},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/nabarro22a.html},
timestamp = {Mon, 26 Jun 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/NabarroGGFWA22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/NabiMS22,
author = {Razieh Nabi and
Todd McNutt and
Ilya Shpitser},
editor = {James Cussens and
Kun Zhang},
title = {Semiparametric causal sufficient dimension reduction of multidimensional
treatments},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1445--1455},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/nabi22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/NabiMS22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/NanmoK22,
author = {Hisayoshi Nanmo and
Manabu Kuroki},
editor = {James Cussens and
Kun Zhang},
title = {Partially adaptive regularized multiple regression analysis for estimating
linear causal effects},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1456--1465},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/nanmo22a.html},
timestamp = {Wed, 07 Dec 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/uai/NanmoK22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/NasimZEX22,
author = {Md. Nasim and
Xinghang Zhang and
Anter El{-}Azab and
Yexiang Xue},
editor = {James Cussens and
Kun Zhang},
title = {Efficient learning of sparse and decomposable PDEs using random projection},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1466--1476},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/nasim22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/NasimZEX22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/NelsonBGL0P22,
author = {Elliot Nelson and
Debarun Bhattacharjya and
Tian Gao and
Miao Liu and
Djallel Bouneffouf and
Pascal Poupart},
editor = {James Cussens and
Kun Zhang},
title = {Linearizing contextual bandits with latent state dynamics},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1477--1487},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/nelson22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/NelsonBGL0P22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/NemirovskyTXG22,
author = {Daniel Nemirovsky and
Nicolas Thiebaut and
Ye Xu and
Abhishek Gupta},
editor = {James Cussens and
Kun Zhang},
title = {CounteRGAN: Generating counterfactuals for real-time recourse and
interpretability using residual GANs},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1488--1497},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/nemirovsky22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/NemirovskyTXG22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/Nguyen22,
author = {Duc Nguyen},
editor = {James Cussens and
Kun Zhang},
title = {Efficient and accurate top-k recovery from choice data},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1509--1518},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/nguyen22b.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/Nguyen22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/NguyenBNYN22,
author = {Tuan{-}Duy H. Nguyen and
Ngoc Bui and
Duy Nguyen and
Man{-}Chung Yue and
Viet Anh Nguyen},
editor = {James Cussens and
Kun Zhang},
title = {Robust Bayesian recourse},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1498--1508},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/nguyen22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/NguyenBNYN22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/NiM22,
author = {Yang Ni and
Bani K. Mallick},
editor = {James Cussens and
Kun Zhang},
title = {Ordinal causal discovery},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1530--1540},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/ni22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/NiM22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/NieAUAQ22,
author = {Guanyu Nie and
Mridul Agarwal and
Abhishek Kumar Umrawal and
Vaneet Aggarwal and
Christopher John Quinn},
editor = {James Cussens and
Kun Zhang},
title = {An explore-then-commit algorithm for submodular maximization under
full-bandit feedback},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1541--1551},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/nie22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/NieAUAQ22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/OsbandWADLR22,
author = {Ian Osband and
Zheng Wen and
Seyed Mohammad Asghari and
Vikranth Dwaracherla and
Xiuyuan Lu and
Benjamin Van Roy},
editor = {James Cussens and
Kun Zhang},
title = {Evaluating high-order predictive distributions in deep learning},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1552--1560},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/osband22a.html},
timestamp = {Thu, 31 Aug 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/OsbandWADLR22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/OuderaaW22,
author = {Tycho F. A. van der Ouderaa and
Mark van der Wilk},
editor = {James Cussens and
Kun Zhang},
title = {Learning invariant weights in neural networks},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1992--2001},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/ouderaa22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/OuderaaW22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/PanMFWYR022,
author = {Yangchen Pan and
Jincheng Mei and
Amir{-}massoud Farahmand and
Martha White and
Hengshuai Yao and
Mohsen Rohani and
Jun Luo},
editor = {James Cussens and
Kun Zhang},
title = {Understanding and mitigating the limitations of prioritized experience
replay},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1561--1571},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/pan22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/PanMFWYR022.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/PeddiRG22,
author = {Rohith Peddi and
Tahrima Rahman and
Vibhav Gogate},
editor = {James Cussens and
Kun Zhang},
title = {Robust learning of tractable probabilistic models},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1572--1581},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/peddi22a.html},
timestamp = {Tue, 07 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/PeddiRG22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/PerezSBWS22,
author = {Iker Perez and
Piotr Skalski and
Alec Barns{-}Graham and
Jason Wong and
David Sutton},
editor = {James Cussens and
Kun Zhang},
title = {Attribution of predictive uncertainties in classification models},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1582--1591},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/perez22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/PerezSBWS22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/Pezeshki0ID22,
author = {Bobak Pezeshki and
Radu Marinescu and
Alexander Ihler and
Rina Dechter},
editor = {James Cussens and
Kun Zhang},
title = {{AND/OR} branch-and-bound for computational protein design optimizing
{K}},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1602--1612},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/pezeshki22a.html},
timestamp = {Mon, 05 Dec 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/uai/Pezeshki0ID22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/PfisterP22,
author = {Niklas Pfister and
Jonas Peters},
editor = {James Cussens and
Kun Zhang},
title = {Identifiability of sparse causal effects using instrumental variables},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1613--1622},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/pfister22a.html},
timestamp = {Mon, 26 Jun 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/PfisterP22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/PichenyMTD22,
author = {Victor Picheny and
Henry B. Moss and
L{\'{e}}eonard Torossian and
Nicolas Durrande},
editor = {James Cussens and
Kun Zhang},
title = {Bayesian quantile and expectile optimisation},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1623--1633},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/picheny22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/PichenyMTD22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/PolianskiiMKVPK22,
author = {Vladislav Polianskii and
Giovanni Luca Marchetti and
Alexander Kravberg and
Anastasiia Varava and
Florian T. Pokorny and
Danica Kragic},
editor = {James Cussens and
Kun Zhang},
title = {Voronoi density estimator for high-dimensional data: Computation,
compactification and convergence},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1644--1653},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/polianskii22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/PolianskiiMKVPK22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/PrietoH22,
author = {Daira Pinto Prieto and
Ronald de Haan},
editor = {James Cussens and
Kun Zhang},
title = {Using hierarchies to efficiently combine evidence with Dempster's
rule of combination},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1634--1643},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/pinto-prieto22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/PrietoH22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/Rahmani22,
author = {Mostafa Rahmani},
editor = {James Cussens and
Kun Zhang},
title = {Clustering a union of linear subspaces via matrix factorization and
innovation search},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1654--1664},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/rahmani22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/Rahmani22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/RamaswamyS22,
author = {Vaidyanathan Peruvemba Ramaswamy and
Stefan Szeider},
editor = {James Cussens and
Kun Zhang},
title = {Learning large Bayesian networks with expert constraints},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1592--1601},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/peruvemba-ramaswamy22a.html},
timestamp = {Tue, 21 Mar 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/uai/RamaswamyS22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/RamponiR22,
author = {Giorgia Ramponi and
Marcello Restelli},
editor = {James Cussens and
Kun Zhang},
title = {Learning in Markov games: Can we exploit a general-sum opponent?},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1665--1675},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/ramponi22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/RamponiR22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/ReicheltGOR22,
author = {Tim Reichelt and
Adam Golinski and
Luke Ong and
Tom Rainforth},
editor = {James Cussens and
Kun Zhang},
title = {Expectation programming: Adapting probabilistic programming systems
to estimate expectations efficiently},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1676--1685},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/reichelt22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/ReicheltGOR22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/RenZSD22,
author = {Tongzheng Ren and
Tianjun Zhang and
Csaba Szepesv{\'{a}}ri and
Bo Dai},
editor = {James Cussens and
Kun Zhang},
title = {A free lunch from the noise: Provable and practical exploration for
representation learning},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1686--1696},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/ren22a.html},
timestamp = {Mon, 03 Jul 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/RenZSD22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/RogetMK22,
author = {Mathieu Roget and
Giuseppe Di Molfetta and
Hachem Kadri},
editor = {James Cussens and
Kun Zhang},
title = {Quantum perceptron revisited: Computational-statistical tradeoffs},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1697--1706},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/roget22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/RogetMK22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/RolfMGJRJ22,
author = {Esther Rolf and
Nikolay Malkin and
Alexandros Graikos and
Ana Jojic and
Caleb Robinson and
Nebojsa Jojic},
editor = {James Cussens and
Kun Zhang},
title = {Resolving label uncertainty with implicit posterior models},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1707--1717},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/rolf22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/RolfMGJRJ22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/Samarin0B22,
author = {Maxim Samarin and
Volker Roth and
David Belius},
editor = {James Cussens and
Kun Zhang},
title = {Feature learning and random features in standard finite-width convolutional
neural networks: An empirical study},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1718--1727},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/samarin22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/Samarin0B22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/SankararamanLG22,
author = {Karthik Abinav Sankararaman and
Anand Louis and
Navin Goyal},
editor = {James Cussens and
Kun Zhang},
title = {Robust identifiability in linear structural equation models of causal
inference},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1728--1737},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/sankararaman22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/SankararamanLG22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/SanyalHY22,
author = {Amartya Sanyal and
Yaxi Hu and
Fanny Yang},
editor = {James Cussens and
Kun Zhang},
title = {How unfair is private learning?},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1738--1748},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/sanyal22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/SanyalHY22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/SchwobelWJMH22,
author = {Pola Schw{\"{o}}bel and
Frederik Rahb{\ae}k Warburg and
Martin J{\o}rgensen and
Kristoffer Hougaard Madsen and
S{\o}ren Hauberg},
editor = {James Cussens and
Kun Zhang},
title = {Probabilistic spatial transformer networks},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1749--1759},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/schwobel22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/SchwobelWJMH22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/SelbyRKRP22,
author = {Kira A. Selby and
Ahmad Rashid and
Ivan Kobyzev and
Mehdi Rezagholizadeh and
Pascal Poupart},
editor = {James Cussens and
Kun Zhang},
title = {Learning functions on multiple sets using multi-set transformers},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1760--1770},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/selby22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/SelbyRKRP22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/ShabatMA22,
author = {Tsviel Ben Shabat and
Reshef Meir and
David Azriel},
editor = {James Cussens and
Kun Zhang},
title = {Empirical bayes approach to truth discovery problems},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {150--158},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/ben-shabat22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/ShabatMA22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/SharmaAGMS22,
author = {Vishal Sharma and
Daman Arora and
Florian Gei{\ss}er and
Mausam and
Parag Singla},
editor = {James Cussens and
Kun Zhang},
title = {SymNet 2.0: Effectively handling Non-Fluents and Actions in Generalized
Neural Policies for {RDDL} Relational MDPs},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1771--1781},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/sharma22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/SharmaAGMS22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/ShuCDL22,
author = {Yao Shu and
Yizhou Chen and
Zhongxiang Dai and
Bryan Kian Hsiang Low},
editor = {James Cussens and
Kun Zhang},
title = {Neural ensemble search via Bayesian sampling},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1803--1812},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/shu22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/ShuCDL22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/ShulginR22,
author = {Egor Shulgin and
Peter Richt{\'{a}}rik},
editor = {James Cussens and
Kun Zhang},
title = {Shifted compression framework: generalizations and improvements},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1813--1823},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/shulgin22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/ShulginR22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/SiciliaAAH22,
author = {Anthony Sicilia and
Katherine Atwell and
Malihe Alikhani and
Seong Jae Hwang},
editor = {James Cussens and
Kun Zhang},
title = {PAC-Bayesian domain adaptation bounds for multiclass learners},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1824--1834},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/sicilia22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/SiciliaAAH22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/SidheekhDJB022,
author = {Sahil Sidheekh and
Chris B. Dock and
Tushar Jain and
Radu V. Balan and
Maneesh Kumar Singh},
editor = {James Cussens and
Kun Zhang},
title = {VQ-Flows: Vector quantized local normalizing flows},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1835--1845},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/sidheekh22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/SidheekhDJB022.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/SmithCGG22,
author = {Jeffrey Smith and
Jesse Cranney and
Charles Gretton and
Damien Gratadour},
editor = {James Cussens and
Kun Zhang},
title = {Enhanced adaptive optics control with image to image translation},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1846--1856},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/smith22a.html},
timestamp = {Wed, 16 Aug 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/SmithCGG22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/SohnWCQGFL22,
author = {Sungryull Sohn and
Hyunjae Woo and
Jongwook Choi and
Lyubing Qiang and
Izzeddin Gur and
Aleksandra Faust and
Honglak Lee},
editor = {James Cussens and
Kun Zhang},
title = {Fast inference and transfer of compositional task structures for few-shot
task generalization},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1857--1865},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/sohn22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/SohnWCQGFL22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/SongYDYL22,
author = {Kaiyu Song and
Kun Yue and
Liang Duan and
Mingze Yang and
Angsheng Li},
editor = {James Cussens and
Kun Zhang},
title = {Mutual information based Bayesian graph neural network for few-shot
learning},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1866--1875},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/song22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/SongYDYL22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/SpallittaMMPS22,
author = {Giuseppe Spallitta and
Gabriele Masina and
Paolo Morettin and
Andrea Passerini and
Roberto Sebastiani},
editor = {James Cussens and
Kun Zhang},
title = {SMT-based weighted model integration with structure awareness},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1876--1885},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/spallitta22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/SpallittaMMPS22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/SuH22,
author = {Zehao Su and
Leonard Henckel},
editor = {James Cussens and
Kun Zhang},
title = {A robustness test for estimating total effects with covariate adjustment},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1886--1895},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/su22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/SuH22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/SuehiroT22,
author = {Daiki Suehiro and
Eiji Takimoto},
editor = {James Cussens and
Kun Zhang},
title = {Simplified and unified analysis of various learning problems by reduction
to Multiple-Instance Learning},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1896--1906},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/suehiro22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/SuehiroT22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/SureshD22,
author = {Prasanth Sengadu Suresh and
Prashant Doshi},
editor = {James Cussens and
Kun Zhang},
title = {Marginal {MAP} estimation for inverse {RL} under occlusion with observer
noise},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1907--1916},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/suresh22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/SureshD22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/TangBL22,
author = {Tongyi Tang and
Krishna Balasubramanian and
Thomas Chun Man Lee},
editor = {James Cussens and
Kun Zhang},
title = {High-probability bounds for robust stochastic Frank-Wolfe algorithm},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1917--1927},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/tang22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/TangBL22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/TengCZ022,
author = {Zhiyang Teng and
Chenhua Chen and
Yan Zhang and
Yue Zhang},
editor = {James Cussens and
Kun Zhang},
title = {Contrastive latent variable models for neural text generation},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1928--1938},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/teng22a.html},
timestamp = {Tue, 12 Dec 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/uai/TengCZ022.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/TifreaSY22,
author = {Alexandru Tifrea and
Eric Stavarache and
Fanny Yang},
editor = {James Cussens and
Kun Zhang},
title = {Semi-supervised novelty detection using ensembles with regularized
disagreement},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1939--1948},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/tifrea22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/TifreaSY22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/TomasiLD22,
author = {Federico Tomasi and
Mounia Lalmas and
Zhenwen Dai},
editor = {James Cussens and
Kun Zhang},
title = {Efficient inference for dynamic topic modeling with large vocabularies},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1950--1959},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/tomasi22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/TomasiLD22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/TramontanoMD22,
author = {Daniele Tramontano and
Anthea Monod and
Mathias Drton},
editor = {James Cussens and
Kun Zhang},
title = {Learning linear non-Gaussian polytree models},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1960--1969},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/tramontano22a.html},
timestamp = {Sat, 30 Sep 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/TramontanoMD22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/TurrisiFRP22,
author = {Rosanna Turrisi and
R{\'{e}}mi Flamary and
Alain Rakotomamonjy and
Massimiliano Pontil},
editor = {James Cussens and
Kun Zhang},
title = {Multi-source domain adaptation via weighted joint distributions optimal
transport},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1970--1980},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/turrisi22a.html},
timestamp = {Wed, 08 Mar 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/uai/TurrisiFRP22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/UhlemeyerRG22,
author = {Svenja Uhlemeyer and
Matthias Rottmann and
Hanno Gottschalk},
editor = {James Cussens and
Kun Zhang},
title = {Towards unsupervised open world semantic segmentation},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1981--1991},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/uhlemeyer22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/UhlemeyerRG22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/VankadaraFHMGJ22,
author = {Leena Chennuru Vankadara and
Philipp Michael Faller and
Michaela Hardt and
Lenon Minorics and
Debarghya Ghoshdastidar and
Dominik Janzing},
editor = {James Cussens and
Kun Zhang},
title = {Causal forecasting: generalization bounds for autoregressive models},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {2002--2012},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/vankadara22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/VankadaraFHMGJ22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/VariciSST22,
author = {Burak Varici and
Karthikeyan Shanmugam and
Prasanna Sattigeri and
Ali Tajer},
editor = {James Cussens and
Kun Zhang},
title = {Intervention target estimation in the presence of latent variables},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {2013--2023},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/varici22a.html},
timestamp = {Sat, 30 Sep 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/VariciSST22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/VoLHL22,
author = {Thanh Vinh Vo and
Young Lee and
Trong Nghia Hoang and
Tze{-}Yun Leong},
editor = {James Cussens and
Kun Zhang},
title = {Bayesian federated estimation of causal effects from observational
data},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {2024--2034},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/vo22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/VoLHL22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/WanDZZZC22,
author = {Changlin Wan and
Pengtao Dang and
Tong Zhao and
Yong Zang and
Chi Zhang and
Sha Cao},
editor = {James Cussens and
Kun Zhang},
title = {Bias aware probabilistic Boolean matrix factorization},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {2035--2044},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/wan22a.html},
timestamp = {Mon, 21 Aug 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/WanDZZZC22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/WangGSQ22,
author = {Zhe Wang and
Jake Grigsby and
Arshdeep Sekhon and
Yanjun Qi},
editor = {James Cussens and
Kun Zhang},
title = {{ST-MAML} : {A} stochastic-task based method for task-heterogeneous
meta-learning},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {2066--2074},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/wang22c.html},
timestamp = {Fri, 23 Jun 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/WangGSQ22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/WangHZLX22,
author = {Haohan Wang and
Zeyi Huang and
Hanlin Zhang and
Yong Jae Lee and
Eric P. Xing},
editor = {James Cussens and
Kun Zhang},
title = {Toward learning human-aligned cross-domain robust models by countering
misaligned features},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {2075--2084},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/wang22d.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/WangHZLX22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/WangWSSS0SG22,
author = {Zhenyi Wang and
Xiaoyang Wang and
Li Shen and
Qiuling Suo and
Kaiqiang Song and
Dong Yu and
Yan Shen and
Mingchen Gao},
editor = {James Cussens and
Kun Zhang},
title = {Meta-learning without data via Wasserstein distributionally-robust
model fusion},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {2045--2055},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/wang22a.html},
timestamp = {Fri, 10 Nov 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/uai/WangWSSS0SG22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/WangX022,
author = {Xiaosen Wang and
Yifeng Xiong and
Kun He},
editor = {James Cussens and
Kun Zhang},
title = {Detecting textual adversarial examples through randomized substitution
and vote},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {2056--2065},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/wang22b.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/WangX022.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/Warren0R22,
author = {Houston Warren and
Rafael Oliveira and
Fabio T. Ramos},
editor = {James Cussens and
Kun Zhang},
title = {Generalized Bayesian quadrature with spectral kernels},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {2085--2095},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/warren22a.html},
timestamp = {Tue, 18 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/Warren0R22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/WatsonS22,
author = {David S. Watson and
Ricardo Silva},
editor = {James Cussens and
Kun Zhang},
title = {Causal discovery under a confounder blanket},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {2096--2106},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/watson22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/WatsonS22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/WienobstBL22,
author = {Marcel Wien{\"{o}}bst and
Max Bannach and
Maciej Liskiewicz},
editor = {James Cussens and
Kun Zhang},
title = {A new constructive criterion for Markov equivalence of MAGs},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {2107--2116},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/wienobst22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/WienobstBL22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/Wu0YSLWW22,
author = {Ruihan Wu and
Xin Yang and
Yuanshun Yao and
Jiankai Sun and
Tianyi Liu and
Kilian Q. Weinberger and
Chong Wang},
editor = {James Cussens and
Kun Zhang},
title = {Differentially private multi-party data release for linear regression},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {2128--2137},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/wu22b.html},
timestamp = {Thu, 22 Dec 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/uai/Wu0YSLWW22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/WuW22,
author = {Han Wu and
Stefan Wager},
editor = {James Cussens and
Kun Zhang},
title = {Partial likelihood Thompson sampling},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {2138--2147},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/wu22c.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/WuW22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/WuWLC22,
author = {Shuang Wu and
Chi{-}Hua Wang and
Yuantong Li and
Guang Cheng},
editor = {James Cussens and
Kun Zhang},
title = {Residual bootstrap exploration for stochastic linear bandit},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {2117--2127},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/wu22a.html},
timestamp = {Fri, 02 Dec 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/uai/WuWLC22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/XieHL22,
author = {Xiumin Xie and
Chuanwen Hou and
Zhixin Li},
editor = {James Cussens and
Kun Zhang},
title = {Fine-Grained matching with multi-perspective similarity modeling for
cross-modal retrieval},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {2148--2158},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/xie22a.html},
timestamp = {Mon, 26 Jun 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/XieHL22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/XiongXZL022,
author = {Huaqing Xiong and
Tengyu Xu and
Lin Zhao and
Yingbin Liang and
Wei Zhang},
editor = {James Cussens and
Kun Zhang},
title = {Deterministic policy gradient: Convergence analysis},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {2159--2169},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/xiong22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/XiongXZL022.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/Yan00022,
author = {Hanqi Yan and
Lin Gui and
Wenjie Li and
Yulan He},
editor = {James Cussens and
Kun Zhang},
title = {Addressing token uniformity in transformers via singular value transformation},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {2181--2191},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/yan22b.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/Yan00022.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/YangHLVLY22,
author = {Zhenhuan Yang and
Shu Hu and
Yunwen Lei and
Kush R. Varshney and
Siwei Lyu and
Yiming Ying},
editor = {James Cussens and
Kun Zhang},
title = {Differentially private {SGDA} for minimax problems},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {2192--2202},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/yang22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/YangHLVLY22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/YangL22,
author = {Yingzhen Yang and
Ping Li},
editor = {James Cussens and
Kun Zhang},
title = {Noisy L0-sparse subspace clustering on dimensionality reduced data},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {2235--2245},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/yang22e.html},
timestamp = {Thu, 02 Feb 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/uai/YangL22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/YangSXPZYY22,
author = {Huanhuan Yang and
Dianxi Shi and
Guojun Xie and
Yingxuan Peng and
Yi Zhang and
Yantai Yang and
Shaowu Yang},
editor = {James Cussens and
Kun Zhang},
title = {Self-supervised representations for multi-view reinforcement learning},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {2203--2213},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/yang22b.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/YangSXPZYY22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/YangY22,
author = {Shoujian Yang and
Lian Yu},
editor = {James Cussens and
Kun Zhang},
title = {CoSPA: An improved masked language model with copy mechanism for Chinese
spelling correction},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {2225--2234},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/yang22d.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/YangY22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/Ye022,
author = {Mao Ye and
Qiang Liu},
editor = {James Cussens and
Kun Zhang},
title = {Pareto navigation gradient descent: a first-order algorithm for optimization
in pareto set},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {2246--2255},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/ye22a.html},
timestamp = {Wed, 15 Mar 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/uai/Ye022.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/YeJWCDBMKL22,
author = {Mao Ye and
Ruichen Jiang and
Haoxiang Wang and
Dhruv Choudhary and
Xiaocong Du and
Bhargav Bhushanam and
Aryan Mokhtari and
Arun Kejariwal and
Qiang Liu},
editor = {James Cussens and
Kun Zhang},
title = {Future gradient descent for adapting the temporal shifting data distribution
in online recommendation systems},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {2256--2266},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/ye22b.html},
timestamp = {Wed, 24 May 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/YeJWCDBMKL22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/Yi22,
author = {Mingyang Yi},
editor = {James Cussens and
Kun Zhang},
title = {Accelerating training of batch normalization: {A} manifold perspective},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {1128--1137},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/yi22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/Yi22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/YinCW022,
author = {Ming Yin and
Wenjing Chen and
Mengdi Wang and
Yu{-}Xiang Wang},
editor = {James Cussens and
Kun Zhang},
title = {Offline stochastic shortest path: Learning, evaluation and towards
optimality},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {2278--2288},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/yin22b.html},
timestamp = {Tue, 19 Sep 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/YinCW022.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/YonaMEG22,
author = {Gal Yona and
Shay Moran and
Gal Elidan and
Amir Globerson},
editor = {James Cussens and
Kun Zhang},
title = {Active learning with label comparisons},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {2289--2298},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/yona22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/YonaMEG22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/YouYZHT22,
author = {Heng You and
Tianpei Yang and
Yan Zheng and
Jianye Hao and
Matthew E. Taylor},
editor = {James Cussens and
Kun Zhang},
title = {Cross-domain adaptive transfer reinforcement learning based on state-action
correspondence},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {2299--2309},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/you22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/YouYZHT22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/YuAYJP22,
author = {Shujian Yu and
Francesco Alesiani and
Wenzhe Yin and
Robert Jenssen and
Jos{\'{e}} C. Pr{\'{\i}}ncipe},
editor = {James Cussens and
Kun Zhang},
title = {Principle of relevant information for graph sparsification},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {2331--2341},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/yu22c.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/YuAYJP22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/YuBVV22,
author = {Sixie Yu and
P. Jeffrey Brantingham and
Matthew Valasik and
Yevgeniy Vorobeychik},
editor = {James Cussens and
Kun Zhang},
title = {Learning binary multi-scale games on networks},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {2310--2319},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/yu22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/YuBVV22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/ZhanWC22,
author = {Xueying Zhan and
Yaowei Wang and
Antoni B. Chan},
editor = {James Cussens and
Kun Zhang},
title = {Asymptotic optimality for active learning processes},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {2342--2352},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/zhan22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/ZhanWC22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/ZhangLZCCFMHH022,
author = {Gaoyuan Zhang and
Songtao Lu and
Yihua Zhang and
Xiangyi Chen and
Pin{-}Yu Chen and
Quanfu Fan and
Lee Martie and
Lior Horesh and
Mingyi Hong and
Sijia Liu},
editor = {James Cussens and
Kun Zhang},
title = {Distributed adversarial training to robustify deep neural networks
at scale},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {2353--2363},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/zhang22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/ZhangLZCCFMHH022.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/ZhangZBP0022,
author = {Yikai Zhang and
Wenjia Zhang and
Sammy Bald and
Vamsi Pingali and
Chao Chen and
Mayank Goswami},
editor = {James Cussens and
Kun Zhang},
title = {Stability of {SGD:} Tightness analysis and improved bounds},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {2364--2373},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/zhang22b.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/ZhangZBP0022.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/Zhao0JS22,
author = {Zeyu Zhao and
Ke Xu and
Xinghao Jiang and
Tanfeng Sun},
editor = {James Cussens and
Kun Zhang},
title = {Research on video adversarial attack with long living cycle},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {2374--2382},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/zhao22a.html},
timestamp = {Sat, 30 Sep 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/Zhao0JS22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/ZhouHN22,
author = {Fangting Zhou and
Kejun He and
Yang Ni},
editor = {James Cussens and
Kun Zhang},
title = {Causal discovery with heterogeneous observational data},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {2383--2393},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/zhou22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/ZhouHN22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/ZhouP22,
author = {Qiang Zhou and
Sinno Jialin Pan},
editor = {James Cussens and
Kun Zhang},
title = {Convergence Analysis of Linear Coupling with Inexact Proximal Operator},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {2394--2403},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/zhou22b.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/ZhouP22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/ZhouSXN22,
author = {Chenghan Zhou and
Andrew Spivey and
Haifeng Xu and
Thanh Hong Nguyen},
editor = {James Cussens and
Kun Zhang},
title = {Information design for multiple independent and self-interested defenders:
Work less, pay off more},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {2404--2413},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/zhou22c.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/ZhouSXN22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/ZhuGGKS22,
author = {Yuchen Zhu and
Limor Gultchin and
Arthur Gretton and
Matt J. Kusner and
Ricardo Silva},
editor = {James Cussens and
Kun Zhang},
title = {Causal inference with treatment measurement error: a nonparametric
instrumental variable approach},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
pages = {2414--2424},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/zhu22a.html},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/ZhuGGKS22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@proceedings{DBLP:conf/uai/2022,
editor = {James Cussens and
Kun Zhang},
title = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
1-5 August 2022, Eindhoven, The Netherlands},
series = {Proceedings of Machine Learning Research},
volume = {180},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v180/},
timestamp = {Sat, 15 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/uai/2022.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
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