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ORCIDBibTeX records: Geoff Pleiss
@article{DBLP:journals/corr/abs-2402-05015,
author = {Agustinus Kristiadi and
Felix Strieth{-}Kalthoff and
Marta Skreta and
Pascal Poupart and
Al{\'{a}}n Aspuru{-}Guzik and
Geoff Pleiss},
title = {A Sober Look at LLMs for Material Discovery: Are They Actually Good
for Bayesian Optimization Over Molecules?},
journal = {CoRR},
volume = {abs/2402.05015},
year = {2024},
url = {https://doi.org/10.48550/arXiv.2402.05015},
doi = {10.48550/ARXIV.2402.05015},
eprinttype = {arXiv},
eprint = {2402.05015},
timestamp = {Wed, 14 Feb 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2402-05015.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2402-09542,
author = {Jason Yoo and
Yunpeng Liu and
Frank Wood and
Geoff Pleiss},
title = {Layerwise Proximal Replay: {A} Proximal Point Method for Online Continual
Learning},
journal = {CoRR},
volume = {abs/2402.09542},
year = {2024},
url = {https://doi.org/10.48550/arXiv.2402.09542},
doi = {10.48550/ARXIV.2402.09542},
eprinttype = {arXiv},
eprint = {2402.09542},
timestamp = {Tue, 20 Feb 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2402-09542.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2402-09598,
author = {Alexandre Bouchard{-}C{\^{o}}t{\'{e}} and
Trevor Campbell and
Geoff Pleiss and
Nikola Surjanovic},
title = {MCMC-driven learning},
journal = {CoRR},
volume = {abs/2402.09598},
year = {2024},
url = {https://doi.org/10.48550/arXiv.2402.09598},
doi = {10.48550/ARXIV.2402.09598},
eprinttype = {arXiv},
eprint = {2402.09598},
timestamp = {Fri, 16 Feb 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2402-09598.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/CaponeHP23,
author = {Alexandre Capone and
Sandra Hirche and
Geoff Pleiss},
editor = {Alice Oh and
Tristan Naumann and
Amir Globerson and
Kate Saenko and
Moritz Hardt and
Sergey Levine},
title = {Sharp Calibrated Gaussian Processes},
booktitle = {Advances in Neural Information Processing Systems 36: Annual Conference
on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans,
LA, USA, December 10 - 16, 2023},
year = {2023},
url = {http://papers.nips.cc/paper\_files/paper/2023/hash/7319b7561ffe5e2f6419acd4a2f52d6b-Abstract-Conference.html},
timestamp = {Fri, 01 Mar 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/nips/CaponeHP23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/PotapczynskiFPW23,
author = {Andres Potapczynski and
Marc Finzi and
Geoff Pleiss and
Andrew Gordon Wilson},
editor = {Alice Oh and
Tristan Naumann and
Amir Globerson and
Kate Saenko and
Moritz Hardt and
Sergey Levine},
title = {CoLA: Exploiting Compositional Structure for Automatic and Efficient
Numerical Linear Algebra},
booktitle = {Advances in Neural Information Processing Systems 36: Annual Conference
on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans,
LA, USA, December 10 - 16, 2023},
year = {2023},
url = {http://papers.nips.cc/paper\_files/paper/2023/hash/88c3c482430a62d35e03926a22e4b67e-Abstract-Conference.html},
timestamp = {Fri, 01 Mar 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/nips/PotapczynskiFPW23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2302-00704,
author = {Taiga Abe and
Estefany Kelly Buchanan and
Geoff Pleiss and
John P. Cunningham},
title = {Pathologies of Predictive Diversity in Deep Ensembles},
journal = {CoRR},
volume = {abs/2302.00704},
year = {2023},
url = {https://doi.org/10.48550/arXiv.2302.00704},
doi = {10.48550/ARXIV.2302.00704},
eprinttype = {arXiv},
eprint = {2302.00704},
timestamp = {Thu, 09 Feb 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2302-00704.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2302-11961,
author = {Alexandre Capone and
Geoff Pleiss and
Sandra Hirche},
title = {Sharp Calibrated Gaussian Processes},
journal = {CoRR},
volume = {abs/2302.11961},
year = {2023},
url = {https://doi.org/10.48550/arXiv.2302.11961},
doi = {10.48550/ARXIV.2302.11961},
eprinttype = {arXiv},
eprint = {2302.11961},
timestamp = {Tue, 28 Feb 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2302-11961.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2309-03060,
author = {Andres Potapczynski and
Marc Finzi and
Geoff Pleiss and
Andrew Gordon Wilson},
title = {CoLA: Exploiting Compositional Structure for Automatic and Efficient
Numerical Linear Algebra},
journal = {CoRR},
volume = {abs/2309.03060},
year = {2023},
url = {https://doi.org/10.48550/arXiv.2309.03060},
doi = {10.48550/ARXIV.2309.03060},
eprinttype = {arXiv},
eprint = {2309.03060},
timestamp = {Tue, 12 Sep 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2309-03060.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2310-17137,
author = {Kaiwen Wu and
Jonathan Wenger and
Haydn Jones and
Geoff Pleiss and
Jacob R. Gardner},
title = {Large-Scale Gaussian Processes via Alternating Projection},
journal = {CoRR},
volume = {abs/2310.17137},
year = {2023},
url = {https://doi.org/10.48550/arXiv.2310.17137},
doi = {10.48550/ARXIV.2310.17137},
eprinttype = {arXiv},
eprint = {2310.17137},
timestamp = {Tue, 31 Oct 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2310-17137.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/pami/HuangLPMW22,
author = {Gao Huang and
Zhuang Liu and
Geoff Pleiss and
Laurens van der Maaten and
Kilian Q. Weinberger},
title = {Convolutional Networks with Dense Connectivity},
journal = {{IEEE} Trans. Pattern Anal. Mach. Intell.},
volume = {44},
number = {12},
pages = {8704--8716},
year = {2022},
url = {https://doi.org/10.1109/TPAMI.2019.2918284},
doi = {10.1109/TPAMI.2019.2918284},
timestamp = {Mon, 28 Aug 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/pami/HuangLPMW22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/WengerPHCG22,
author = {Jonathan Wenger and
Geoff Pleiss and
Philipp Hennig and
John P. Cunningham and
Jacob R. Gardner},
editor = {Kamalika Chaudhuri and
Stefanie Jegelka and
Le Song and
Csaba Szepesv{\'{a}}ri and
Gang Niu and
Sivan Sabato},
title = {Preconditioning for Scalable Gaussian Process Hyperparameter Optimization},
booktitle = {International Conference on Machine Learning, {ICML} 2022, 17-23 July
2022, Baltimore, Maryland, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {162},
pages = {23751--23780},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v162/wenger22a.html},
timestamp = {Tue, 12 Jul 2022 17:36:52 +0200},
biburl = {https://dblp.org/rec/conf/icml/WengerPHCG22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/WuPC22,
author = {Luhuan Wu and
Geoff Pleiss and
John P. Cunningham},
editor = {Kamalika Chaudhuri and
Stefanie Jegelka and
Le Song and
Csaba Szepesv{\'{a}}ri and
Gang Niu and
Sivan Sabato},
title = {Variational nearest neighbor Gaussian process},
booktitle = {International Conference on Machine Learning, {ICML} 2022, 17-23 July
2022, Baltimore, Maryland, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {162},
pages = {24114--24130},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v162/wu22h.html},
timestamp = {Tue, 12 Jul 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/WuPC22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/AbeBPZC22,
author = {Taiga Abe and
Estefany Kelly Buchanan and
Geoff Pleiss and
Richard S. Zemel and
John P. Cunningham},
editor = {Sanmi Koyejo and
S. Mohamed and
A. Agarwal and
Danielle Belgrave and
K. Cho and
A. Oh},
title = {Deep Ensembles Work, But Are They Necessary?},
booktitle = {Advances in Neural Information Processing Systems 35: Annual Conference
on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans,
LA, USA, November 28 - December 9, 2022},
year = {2022},
url = {http://papers.nips.cc/paper\_files/paper/2022/hash/da18c47118a2d09926346f33bebde9f4-Abstract-Conference.html},
timestamp = {Mon, 08 Jan 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/nips/AbeBPZC22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/WengerPPHC22,
author = {Jonathan Wenger and
Geoff Pleiss and
Marvin Pf{\"{o}}rtner and
Philipp Hennig and
John P. Cunningham},
editor = {Sanmi Koyejo and
S. Mohamed and
A. Agarwal and
Danielle Belgrave and
K. Cho and
A. Oh},
title = {Posterior and Computational Uncertainty in Gaussian Processes},
booktitle = {Advances in Neural Information Processing Systems 35: Annual Conference
on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans,
LA, USA, November 28 - December 9, 2022},
year = {2022},
url = {http://papers.nips.cc/paper\_files/paper/2022/hash/4683beb6bab325650db13afd05d1a14a-Abstract-Conference.html},
timestamp = {Mon, 08 Jan 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/nips/WengerPPHC22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2202-01694,
author = {Luhuan Wu and
Geoff Pleiss and
John P. Cunningham},
title = {Variational Nearest Neighbor Gaussian Processes},
journal = {CoRR},
volume = {abs/2202.01694},
year = {2022},
url = {https://arxiv.org/abs/2202.01694},
eprinttype = {arXiv},
eprint = {2202.01694},
timestamp = {Wed, 09 Feb 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2202-01694.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2202-06985,
author = {Taiga Abe and
Estefany Kelly Buchanan and
Geoff Pleiss and
Richard S. Zemel and
John P. Cunningham},
title = {Deep Ensembles Work, But Are They Necessary?},
journal = {CoRR},
volume = {abs/2202.06985},
year = {2022},
url = {https://arxiv.org/abs/2202.06985},
eprinttype = {arXiv},
eprint = {2202.06985},
timestamp = {Fri, 18 Feb 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2202-06985.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2205-15449,
author = {Jonathan Wenger and
Geoff Pleiss and
Marvin Pf{\"{o}}rtner and
Philipp Hennig and
John P. Cunningham},
title = {Posterior and Computational Uncertainty in Gaussian Processes},
journal = {CoRR},
volume = {abs/2205.15449},
year = {2022},
url = {https://doi.org/10.48550/arXiv.2205.15449},
doi = {10.48550/ARXIV.2205.15449},
eprinttype = {arXiv},
eprint = {2205.15449},
timestamp = {Wed, 01 Jun 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2205-15449.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/WuMAPBC21,
author = {Luhuan Wu and
Andrew Miller and
Lauren Anderson and
Geoff Pleiss and
David M. Blei and
John P. Cunningham},
editor = {Arindam Banerjee and
Kenji Fukumizu},
title = {Hierarchical Inducing Point Gaussian Process for Inter-domian Observations},
booktitle = {The 24th International Conference on Artificial Intelligence and Statistics,
{AISTATS} 2021, April 13-15, 2021, Virtual Event},
series = {Proceedings of Machine Learning Research},
volume = {130},
pages = {2926--2934},
publisher = {{PMLR}},
year = {2021},
url = {http://proceedings.mlr.press/v130/wu21b.html},
timestamp = {Wed, 14 Apr 2021 16:51:37 +0200},
biburl = {https://dblp.org/rec/conf/aistats/WuMAPBC21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/PotapczynskiWBP21,
author = {Andres Potapczynski and
Luhuan Wu and
Dan Biderman and
Geoff Pleiss and
John P. Cunningham},
editor = {Marina Meila and
Tong Zhang},
title = {Bias-Free Scalable Gaussian Processes via Randomized Truncations},
booktitle = {Proceedings of the 38th International Conference on Machine Learning,
{ICML} 2021, 18-24 July 2021, Virtual Event},
series = {Proceedings of Machine Learning Research},
volume = {139},
pages = {8609--8619},
publisher = {{PMLR}},
year = {2021},
url = {http://proceedings.mlr.press/v139/potapczynski21a.html},
timestamp = {Wed, 25 Aug 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/PotapczynskiWBP21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/PleissC21,
author = {Geoff Pleiss and
John P. Cunningham},
editor = {Marc'Aurelio Ranzato and
Alina Beygelzimer and
Yann N. Dauphin and
Percy Liang and
Jennifer Wortman Vaughan},
title = {The Limitations of Large Width in Neural Networks: {A} Deep Gaussian
Process Perspective},
booktitle = {Advances in Neural Information Processing Systems 34: Annual Conference
on Neural Information Processing Systems 2021, NeurIPS 2021, December
6-14, 2021, virtual},
pages = {3349--3363},
year = {2021},
url = {https://proceedings.neurips.cc/paper/2021/hash/1b9f38268c50805669fd8caf8f3cc84a-Abstract.html},
timestamp = {Tue, 03 May 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/nips/PleissC21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/CateriniLPC21,
author = {Anthony L. Caterini and
Gabriel Loaiza{-}Ganem and
Geoff Pleiss and
John P. Cunningham},
editor = {Marc'Aurelio Ranzato and
Alina Beygelzimer and
Yann N. Dauphin and
Percy Liang and
Jennifer Wortman Vaughan},
title = {Rectangular Flows for Manifold Learning},
booktitle = {Advances in Neural Information Processing Systems 34: Annual Conference
on Neural Information Processing Systems 2021, NeurIPS 2021, December
6-14, 2021, virtual},
pages = {30228--30241},
year = {2021},
url = {https://proceedings.neurips.cc/paper/2021/hash/fde9264cf376fffe2ee4ddf4a988880d-Abstract.html},
timestamp = {Tue, 03 May 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/nips/CateriniLPC21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2102-06695,
author = {Andres Potapczynski and
Luhuan Wu and
Dan Biderman and
Geoff Pleiss and
John P. Cunningham},
title = {Bias-Free Scalable Gaussian Processes via Randomized Truncations},
journal = {CoRR},
volume = {abs/2102.06695},
year = {2021},
url = {https://arxiv.org/abs/2102.06695},
eprinttype = {arXiv},
eprint = {2102.06695},
timestamp = {Thu, 18 Feb 2021 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2102-06695.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2103-00393,
author = {Luhuan Wu and
Andrew Miller and
Lauren Anderson and
Geoff Pleiss and
David M. Blei and
John P. Cunningham},
title = {Hierarchical Inducing Point Gaussian Process for Inter-domain Observations},
journal = {CoRR},
volume = {abs/2103.00393},
year = {2021},
url = {https://arxiv.org/abs/2103.00393},
eprinttype = {arXiv},
eprint = {2103.00393},
timestamp = {Sun, 02 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2103-00393.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2105-11535,
author = {Martin Jankowiak and
Geoff Pleiss},
title = {Scalable Cross Validation Losses for Gaussian Process Models},
journal = {CoRR},
volume = {abs/2105.11535},
year = {2021},
url = {https://arxiv.org/abs/2105.11535},
eprinttype = {arXiv},
eprint = {2105.11535},
timestamp = {Tue, 01 Jun 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2105-11535.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2106-01413,
author = {Anthony L. Caterini and
Gabriel Loaiza{-}Ganem and
Geoff Pleiss and
John P. Cunningham},
title = {Rectangular Flows for Manifold Learning},
journal = {CoRR},
volume = {abs/2106.01413},
year = {2021},
url = {https://arxiv.org/abs/2106.01413},
eprinttype = {arXiv},
eprint = {2106.01413},
timestamp = {Fri, 11 Jun 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2106-01413.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2106-06529,
author = {Geoff Pleiss and
John P. Cunningham},
title = {The Limitations of Large Width in Neural Networks: {A} Deep Gaussian
Process Perspective},
journal = {CoRR},
volume = {abs/2106.06529},
year = {2021},
url = {https://arxiv.org/abs/2106.06529},
eprinttype = {arXiv},
eprint = {2106.06529},
timestamp = {Tue, 15 Jun 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2106-06529.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2107-00243,
author = {Jonathan Wenger and
Geoff Pleiss and
Philipp Hennig and
John P. Cunningham and
Jacob R. Gardner},
title = {Reducing the Variance of Gaussian Process Hyperparameter Optimization
with Preconditioning},
journal = {CoRR},
volume = {abs/2107.00243},
year = {2021},
url = {https://arxiv.org/abs/2107.00243},
eprinttype = {arXiv},
eprint = {2107.00243},
timestamp = {Wed, 07 Jul 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2107-00243.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icbinb/Gordon-Rodriguez20,
author = {Elliott Gordon{-}Rodr{\'{\i}}guez and
Gabriel Loaiza{-}Ganem and
Geoff Pleiss and
John P. Cunningham},
editor = {Jessica Zosa Forde and
Francisco J. R. Ruiz and
Melanie F. Pradier and
Aaron Schein},
title = {Uses and Abuses of the Cross-Entropy Loss: Case Studies in Modern
Deep Learning},
booktitle = {"I Can't Believe It's Not Better!" at NeurIPS Workshops, Virtual,
December 12, 2020},
series = {Proceedings of Machine Learning Research},
volume = {137},
pages = {1--10},
publisher = {{PMLR}},
year = {2020},
url = {https://proceedings.mlr.press/v137/gordon-rodriguez20a.html},
timestamp = {Thu, 14 Jul 2022 17:31:05 +0200},
biburl = {https://dblp.org/rec/conf/icbinb/Gordon-Rodriguez20.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/iclr/YouWCGPHCW20,
author = {Yurong You and
Yan Wang and
Wei{-}Lun Chao and
Divyansh Garg and
Geoff Pleiss and
Bharath Hariharan and
Mark E. Campbell and
Kilian Q. Weinberger},
title = {Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous
Driving},
booktitle = {8th International Conference on Learning Representations, {ICLR} 2020,
Addis Ababa, Ethiopia, April 26-30, 2020},
publisher = {OpenReview.net},
year = {2020},
url = {https://openreview.net/forum?id=BJedHRVtPB},
timestamp = {Thu, 07 May 2020 17:11:47 +0200},
biburl = {https://dblp.org/rec/conf/iclr/YouWCGPHCW20.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/JankowiakPG20,
author = {Martin Jankowiak and
Geoff Pleiss and
Jacob R. Gardner},
title = {Parametric Gaussian Process Regressors},
booktitle = {Proceedings of the 37th International Conference on Machine Learning,
{ICML} 2020, 13-18 July 2020, Virtual Event},
series = {Proceedings of Machine Learning Research},
volume = {119},
pages = {4702--4712},
publisher = {{PMLR}},
year = {2020},
url = {http://proceedings.mlr.press/v119/jankowiak20a.html},
timestamp = {Tue, 15 Dec 2020 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/JankowiakPG20.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/Pleiss0EW20,
author = {Geoff Pleiss and
Tianyi Zhang and
Ethan R. Elenberg and
Kilian Q. Weinberger},
editor = {Hugo Larochelle and
Marc'Aurelio Ranzato and
Raia Hadsell and
Maria{-}Florina Balcan and
Hsuan{-}Tien Lin},
title = {Identifying Mislabeled Data using the Area Under the Margin Ranking},
booktitle = {Advances in Neural Information Processing Systems 33: Annual Conference
on Neural Information Processing Systems 2020, NeurIPS 2020, December
6-12, 2020, virtual},
year = {2020},
url = {https://proceedings.neurips.cc/paper/2020/hash/c6102b3727b2a7d8b1bb6981147081ef-Abstract.html},
timestamp = {Tue, 19 Jan 2021 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/nips/Pleiss0EW20.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/PleissJEDG20,
author = {Geoff Pleiss and
Martin Jankowiak and
David Eriksson and
Anil Damle and
Jacob R. Gardner},
editor = {Hugo Larochelle and
Marc'Aurelio Ranzato and
Raia Hadsell and
Maria{-}Florina Balcan and
Hsuan{-}Tien Lin},
title = {Fast Matrix Square Roots with Applications to Gaussian Processes and
Bayesian Optimization},
booktitle = {Advances in Neural Information Processing Systems 33: Annual Conference
on Neural Information Processing Systems 2020, NeurIPS 2020, December
6-12, 2020, virtual},
year = {2020},
url = {https://proceedings.neurips.cc/paper/2020/hash/fcf55a303b71b84d326fb1d06e332a26-Abstract.html},
timestamp = {Tue, 19 Jan 2021 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/nips/PleissJEDG20.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/JankowiakPG20,
author = {Martin Jankowiak and
Geoff Pleiss and
Jacob R. Gardner},
editor = {Ryan P. Adams and
Vibhav Gogate},
title = {Deep Sigma Point Processes},
booktitle = {Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial
Intelligence, {UAI} 2020, virtual online, August 3-6, 2020},
series = {Proceedings of Machine Learning Research},
volume = {124},
pages = {789--798},
publisher = {{AUAI} Press},
year = {2020},
url = {http://proceedings.mlr.press/v124/jankowiak20a.html},
timestamp = {Tue, 07 May 2024 20:09:01 +0200},
biburl = {https://dblp.org/rec/conf/uai/JankowiakPG20.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2001-02394,
author = {Gao Huang and
Zhuang Liu and
Geoff Pleiss and
Laurens van der Maaten and
Kilian Q. Weinberger},
title = {Convolutional Networks with Dense Connectivity},
journal = {CoRR},
volume = {abs/2001.02394},
year = {2020},
url = {http://arxiv.org/abs/2001.02394},
eprinttype = {arXiv},
eprint = {2001.02394},
timestamp = {Mon, 13 Jan 2020 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2001-02394.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2001-10528,
author = {Geoff Pleiss and
Tianyi Zhang and
Ethan R. Elenberg and
Kilian Q. Weinberger},
title = {Identifying Mislabeled Data using the Area Under the Margin Ranking},
journal = {CoRR},
volume = {abs/2001.10528},
year = {2020},
url = {https://arxiv.org/abs/2001.10528},
eprinttype = {arXiv},
eprint = {2001.10528},
timestamp = {Wed, 03 Jun 2020 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2001-10528.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2002-09112,
author = {Martin Jankowiak and
Geoff Pleiss and
Jacob R. Gardner},
title = {Deep Sigma Point Processes},
journal = {CoRR},
volume = {abs/2002.09112},
year = {2020},
url = {https://arxiv.org/abs/2002.09112},
eprinttype = {arXiv},
eprint = {2002.09112},
timestamp = {Tue, 03 Mar 2020 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2002-09112.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2006-11267,
author = {Geoff Pleiss and
Martin Jankowiak and
David Eriksson and
Anil Damle and
Jacob R. Gardner},
title = {Fast Matrix Square Roots with Applications to Gaussian Processes and
Bayesian Optimization},
journal = {CoRR},
volume = {abs/2006.11267},
year = {2020},
url = {https://arxiv.org/abs/2006.11267},
eprinttype = {arXiv},
eprint = {2006.11267},
timestamp = {Sat, 23 Jan 2021 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2006-11267.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2011-05231,
author = {Elliott Gordon{-}Rodr{\'{\i}}guez and
Gabriel Loaiza{-}Ganem and
Geoff Pleiss and
John P. Cunningham},
title = {Uses and Abuses of the Cross-Entropy Loss: Case Studies in Modern
Deep Learning},
journal = {CoRR},
volume = {abs/2011.05231},
year = {2020},
url = {https://arxiv.org/abs/2011.05231},
eprinttype = {arXiv},
eprint = {2011.05231},
timestamp = {Tue, 12 Jan 2021 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2011-05231.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/WangPGTWW19,
author = {Ke Alexander Wang and
Geoff Pleiss and
Jacob R. Gardner and
Stephen Tyree and
Kilian Q. Weinberger and
Andrew Gordon Wilson},
editor = {Hanna M. Wallach and
Hugo Larochelle and
Alina Beygelzimer and
Florence d'Alch{\'{e}}{-}Buc and
Emily B. Fox and
Roman Garnett},
title = {Exact Gaussian Processes on a Million Data Points},
booktitle = {Advances in Neural Information Processing Systems 32: Annual Conference
on Neural Information Processing Systems 2019, NeurIPS 2019, December
8-14, 2019, Vancouver, BC, Canada},
pages = {14622--14632},
year = {2019},
url = {https://proceedings.neurips.cc/paper/2019/hash/01ce84968c6969bdd5d51c5eeaa3946a-Abstract.html},
timestamp = {Mon, 16 May 2022 15:41:51 +0200},
biburl = {https://dblp.org/rec/conf/nips/WangPGTWW19.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1903-08114,
author = {Ke Alexander Wang and
Geoff Pleiss and
Jacob R. Gardner and
Stephen Tyree and
Kilian Q. Weinberger and
Andrew Gordon Wilson},
title = {Exact Gaussian Processes on a Million Data Points},
journal = {CoRR},
volume = {abs/1903.08114},
year = {2019},
url = {http://arxiv.org/abs/1903.08114},
eprinttype = {arXiv},
eprint = {1903.08114},
timestamp = {Mon, 01 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-1903-08114.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1906-06310,
author = {Yurong You and
Yan Wang and
Wei{-}Lun Chao and
Divyansh Garg and
Geoff Pleiss and
Bharath Hariharan and
Mark Campbell and
Kilian Q. Weinberger},
title = {Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous
Driving},
journal = {CoRR},
volume = {abs/1906.06310},
year = {2019},
url = {http://arxiv.org/abs/1906.06310},
eprinttype = {arXiv},
eprint = {1906.06310},
timestamp = {Fri, 18 Oct 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-1906-06310.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1910-07123,
author = {Martin Jankowiak and
Geoff Pleiss and
Jacob R. Gardner},
title = {Sparse Gaussian Process Regression Beyond Variational Inference},
journal = {CoRR},
volume = {abs/1910.07123},
year = {2019},
url = {http://arxiv.org/abs/1910.07123},
eprinttype = {arXiv},
eprint = {1910.07123},
timestamp = {Tue, 22 Oct 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-1910-07123.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/GardnerPWWW18,
author = {Jacob R. Gardner and
Geoff Pleiss and
Ruihan Wu and
Kilian Q. Weinberger and
Andrew Gordon Wilson},
editor = {Amos J. Storkey and
Fernando P{\'{e}}rez{-}Cruz},
title = {Product Kernel Interpolation for Scalable Gaussian Processes},
booktitle = {International Conference on Artificial Intelligence and Statistics,
{AISTATS} 2018, 9-11 April 2018, Playa Blanca, Lanzarote, Canary Islands,
Spain},
series = {Proceedings of Machine Learning Research},
volume = {84},
pages = {1407--1416},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v84/gardner18a.html},
timestamp = {Wed, 03 Apr 2019 18:17:22 +0200},
biburl = {https://dblp.org/rec/conf/aistats/GardnerPWWW18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/PleissGWW18,
author = {Geoff Pleiss and
Jacob R. Gardner and
Kilian Q. Weinberger and
Andrew Gordon Wilson},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Constant-Time Predictive Distributions for Gaussian Processes},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4111--4120},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/pleiss18a.html},
timestamp = {Wed, 03 Apr 2019 18:17:30 +0200},
biburl = {https://dblp.org/rec/conf/icml/PleissGWW18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/GardnerPWBW18,
author = {Jacob R. Gardner and
Geoff Pleiss and
Kilian Q. Weinberger and
David Bindel and
Andrew Gordon Wilson},
editor = {Samy Bengio and
Hanna M. Wallach and
Hugo Larochelle and
Kristen Grauman and
Nicol{\`{o}} Cesa{-}Bianchi and
Roman Garnett},
title = {GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with {GPU}
Acceleration},
booktitle = {Advances in Neural Information Processing Systems 31: Annual Conference
on Neural Information Processing Systems 2018, NeurIPS 2018, December
3-8, 2018, Montr{\'{e}}al, Canada},
pages = {7587--7597},
year = {2018},
url = {https://proceedings.neurips.cc/paper/2018/hash/27e8e17134dd7083b050476733207ea1-Abstract.html},
timestamp = {Mon, 16 May 2022 15:41:51 +0200},
biburl = {https://dblp.org/rec/conf/nips/GardnerPWBW18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1802-08903,
author = {Jacob R. Gardner and
Geoff Pleiss and
Ruihan Wu and
Kilian Q. Weinberger and
Andrew Gordon Wilson},
title = {Product Kernel Interpolation for Scalable Gaussian Processes},
journal = {CoRR},
volume = {abs/1802.08903},
year = {2018},
url = {http://arxiv.org/abs/1802.08903},
eprinttype = {arXiv},
eprint = {1802.08903},
timestamp = {Mon, 13 Aug 2018 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-1802-08903.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1803-06058,
author = {Geoff Pleiss and
Jacob R. Gardner and
Kilian Q. Weinberger and
Andrew Gordon Wilson},
title = {Constant-Time Predictive Distributions for Gaussian Processes},
journal = {CoRR},
volume = {abs/1803.06058},
year = {2018},
url = {http://arxiv.org/abs/1803.06058},
eprinttype = {arXiv},
eprint = {1803.06058},
timestamp = {Mon, 13 Aug 2018 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-1803-06058.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1809-11165,
author = {Jacob R. Gardner and
Geoff Pleiss and
David Bindel and
Kilian Q. Weinberger and
Andrew Gordon Wilson},
title = {GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with {GPU}
Acceleration},
journal = {CoRR},
volume = {abs/1809.11165},
year = {2018},
url = {http://arxiv.org/abs/1809.11165},
eprinttype = {arXiv},
eprint = {1809.11165},
timestamp = {Fri, 05 Oct 2018 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-1809-11165.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/cvpr/UpchurchGPPSBW17,
author = {Paul Upchurch and
Jacob R. Gardner and
Geoff Pleiss and
Robert Pless and
Noah Snavely and
Kavita Bala and
Kilian Q. Weinberger},
title = {Deep Feature Interpolation for Image Content Changes},
booktitle = {2017 {IEEE} Conference on Computer Vision and Pattern Recognition,
{CVPR} 2017, Honolulu, HI, USA, July 21-26, 2017},
pages = {6090--6099},
publisher = {{IEEE} Computer Society},
year = {2017},
url = {https://doi.org/10.1109/CVPR.2017.645},
doi = {10.1109/CVPR.2017.645},
timestamp = {Fri, 24 Mar 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/cvpr/UpchurchGPPSBW17.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/iclr/HuangLP0HW17,
author = {Gao Huang and
Yixuan Li and
Geoff Pleiss and
Zhuang Liu and
John E. Hopcroft and
Kilian Q. Weinberger},
title = {Snapshot Ensembles: Train 1, Get {M} for Free},
booktitle = {5th International Conference on Learning Representations, {ICLR} 2017,
Toulon, France, April 24-26, 2017, Conference Track Proceedings},
publisher = {OpenReview.net},
year = {2017},
url = {https://openreview.net/forum?id=BJYwwY9ll},
timestamp = {Fri, 18 Nov 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/iclr/HuangLP0HW17.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/GuoPSW17,
author = {Chuan Guo and
Geoff Pleiss and
Yu Sun and
Kilian Q. Weinberger},
editor = {Doina Precup and
Yee Whye Teh},
title = {On Calibration of Modern Neural Networks},
booktitle = {Proceedings of the 34th International Conference on Machine Learning,
{ICML} 2017, Sydney, NSW, Australia, 6-11 August 2017},
series = {Proceedings of Machine Learning Research},
volume = {70},
pages = {1321--1330},
publisher = {{PMLR}},
year = {2017},
url = {http://proceedings.mlr.press/v70/guo17a.html},
timestamp = {Wed, 29 May 2019 08:41:45 +0200},
biburl = {https://dblp.org/rec/conf/icml/GuoPSW17.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/PleissRWKW17,
author = {Geoff Pleiss and
Manish Raghavan and
Felix Wu and
Jon M. Kleinberg and
Kilian Q. Weinberger},
editor = {Isabelle Guyon and
Ulrike von Luxburg and
Samy Bengio and
Hanna M. Wallach and
Rob Fergus and
S. V. N. Vishwanathan and
Roman Garnett},
title = {On Fairness and Calibration},
booktitle = {Advances in Neural Information Processing Systems 30: Annual Conference
on Neural Information Processing Systems 2017, December 4-9, 2017,
Long Beach, CA, {USA}},
pages = {5680--5689},
year = {2017},
url = {https://proceedings.neurips.cc/paper/2017/hash/b8b9c74ac526fffbeb2d39ab038d1cd7-Abstract.html},
timestamp = {Thu, 21 Jan 2021 13:58:27 +0100},
biburl = {https://dblp.org/rec/conf/nips/PleissRWKW17.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/HuangLPLHW17,
author = {Gao Huang and
Yixuan Li and
Geoff Pleiss and
Zhuang Liu and
John E. Hopcroft and
Kilian Q. Weinberger},
title = {Snapshot Ensembles: Train 1, get {M} for free},
journal = {CoRR},
volume = {abs/1704.00109},
year = {2017},
url = {http://arxiv.org/abs/1704.00109},
eprinttype = {arXiv},
eprint = {1704.00109},
timestamp = {Fri, 18 Nov 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/HuangLPLHW17.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/GuoPSW17,
author = {Chuan Guo and
Geoff Pleiss and
Yu Sun and
Kilian Q. Weinberger},
title = {On Calibration of Modern Neural Networks},
journal = {CoRR},
volume = {abs/1706.04599},
year = {2017},
url = {http://arxiv.org/abs/1706.04599},
eprinttype = {arXiv},
eprint = {1706.04599},
timestamp = {Sat, 15 Dec 2018 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/GuoPSW17.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/PleissCHLMW17,
author = {Geoff Pleiss and
Danlu Chen and
Gao Huang and
Tongcheng Li and
Laurens van der Maaten and
Kilian Q. Weinberger},
title = {Memory-Efficient Implementation of DenseNets},
journal = {CoRR},
volume = {abs/1707.06990},
year = {2017},
url = {http://arxiv.org/abs/1707.06990},
eprinttype = {arXiv},
eprint = {1707.06990},
timestamp = {Mon, 13 Aug 2018 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/PleissCHLMW17.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1709-02012,
author = {Geoff Pleiss and
Manish Raghavan and
Felix Wu and
Jon M. Kleinberg and
Kilian Q. Weinberger},
title = {On Fairness and Calibration},
journal = {CoRR},
volume = {abs/1709.02012},
year = {2017},
url = {http://arxiv.org/abs/1709.02012},
eprinttype = {arXiv},
eprint = {1709.02012},
timestamp = {Mon, 13 Aug 2018 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-1709-02012.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
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