Stop the war!
Остановите войну!
for scientists:
default search action
BibTeX records: Justin Domke
@article{DBLP:journals/tmlr/BurroniTDS23, author = {Javier Burroni and Kenta Takatsu and Justin Domke and Daniel Sheldon}, title = {U-Statistics for Importance-Weighted Variational Inference}, journal = {Trans. Mach. Learn. Res.}, volume = {2023}, year = {2023}, url = {https://openreview.net/forum?id=oXmwAPlbVw}, timestamp = {Thu, 18 May 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/tmlr/BurroniTDS23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/aistats/GeffnerD23, author = {Tomas Geffner and Justin Domke}, editor = {Francisco J. R. Ruiz and Jennifer G. Dy and Jan{-}Willem van de Meent}, title = {Langevin Diffusion Variational Inference}, booktitle = {International Conference on Artificial Intelligence and Statistics, 25-27 April 2023, Palau de Congressos, Valencia, Spain}, series = {Proceedings of Machine Learning Research}, volume = {206}, pages = {576--593}, publisher = {{PMLR}}, year = {2023}, url = {https://proceedings.mlr.press/v206/geffner23a.html}, timestamp = {Mon, 19 Jun 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/aistats/GeffnerD23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/nips/DomkeGG23, author = {Justin Domke and Robert M. Gower and Guillaume Garrigos}, editor = {Alice Oh and Tristan Naumann and Amir Globerson and Kate Saenko and Moritz Hardt and Sergey Levine}, title = {Provable convergence guarantees for black-box variational inference}, 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/d0bcff6425bbf850ec87d5327a965db9-Abstract-Conference.html}, timestamp = {Fri, 01 Mar 2024 00:00:00 +0100}, biburl = {https://dblp.org/rec/conf/nips/DomkeGG23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/nips/YaoD23, author = {Yuling Yao and Justin Domke}, editor = {Alice Oh and Tristan Naumann and Amir Globerson and Kate Saenko and Moritz Hardt and Sergey Levine}, title = {Discriminative Calibration: Check Bayesian Computation from Simulations and Flexible Classifier}, 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/7103cd82de95a7b30983fcf74ba499ac-Abstract-Conference.html}, timestamp = {Fri, 01 Mar 2024 00:00:00 +0100}, biburl = {https://dblp.org/rec/conf/nips/YaoD23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2302-13918, author = {Javier Burroni and Kenta Takatsu and Justin Domke and Daniel Sheldon}, title = {U-Statistics for Importance-Weighted Variational Inference}, journal = {CoRR}, volume = {abs/2302.13918}, year = {2023}, url = {https://doi.org/10.48550/arXiv.2302.13918}, doi = {10.48550/ARXIV.2302.13918}, eprinttype = {arXiv}, eprint = {2302.13918}, timestamp = {Tue, 28 Feb 2023 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/corr/abs-2302-13918.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2304-06803, author = {Javier Burroni and Justin Domke and Daniel Sheldon}, title = {Sample Average Approximation for Black-Box {VI}}, journal = {CoRR}, volume = {abs/2304.06803}, year = {2023}, url = {https://doi.org/10.48550/arXiv.2304.06803}, doi = {10.48550/ARXIV.2304.06803}, eprinttype = {arXiv}, eprint = {2304.06803}, timestamp = {Wed, 19 Apr 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/abs-2304-06803.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2305-14593, author = {Yuling Yao and Justin Domke}, title = {Discriminative calibration}, journal = {CoRR}, volume = {abs/2305.14593}, year = {2023}, url = {https://doi.org/10.48550/arXiv.2305.14593}, doi = {10.48550/ARXIV.2305.14593}, eprinttype = {arXiv}, eprint = {2305.14593}, timestamp = {Tue, 06 Jun 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/abs-2305-14593.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2306-03638, author = {Justin Domke and Guillaume Garrigos and Robert M. Gower}, title = {Provable convergence guarantees for black-box variational inference}, journal = {CoRR}, volume = {abs/2306.03638}, year = {2023}, url = {https://doi.org/10.48550/arXiv.2306.03638}, doi = {10.48550/ARXIV.2306.03638}, eprinttype = {arXiv}, eprint = {2306.03638}, timestamp = {Tue, 13 Jun 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/abs-2306-03638.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2310-17009, author = {Yuling Yao and Bruno R{\'{e}}galdo{-}Saint Blancard and Justin Domke}, title = {Simulation based stacking}, journal = {CoRR}, volume = {abs/2310.17009}, year = {2023}, url = {https://doi.org/10.48550/arXiv.2310.17009}, doi = {10.48550/ARXIV.2310.17009}, eprinttype = {arXiv}, eprint = {2310.17009}, timestamp = {Tue, 31 Oct 2023 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/corr/abs-2310-17009.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/ml/WuDS22, author = {Ga Wu and Justin Domke and Scott Sanner}, title = {Arbitrary conditional inference in variational autoencoders via fast prior network training}, journal = {Mach. Learn.}, volume = {111}, number = {7}, pages = {2537--2559}, year = {2022}, url = {https://doi.org/10.1007/s10994-022-06171-2}, doi = {10.1007/S10994-022-06171-2}, timestamp = {Mon, 08 Aug 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/ml/WuDS22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/aistats/LaiDS22, author = {Jinlin Lai and Justin Domke and Daniel Sheldon}, editor = {Gustau Camps{-}Valls and Francisco J. R. Ruiz and Isabel Valera}, title = {Variational Marginal Particle Filters}, booktitle = {International Conference on Artificial Intelligence and Statistics, {AISTATS} 2022, 28-30 March 2022, Virtual Event}, series = {Proceedings of Machine Learning Research}, volume = {151}, pages = {875--895}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v151/lai22a.html}, timestamp = {Sat, 30 Sep 2023 09:34:08 +0200}, biburl = {https://dblp.org/rec/conf/aistats/LaiDS22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/GeffnerD22, author = {Tomas Geffner and Justin Domke}, editor = {Kamalika Chaudhuri and Stefanie Jegelka and Le Song and Csaba Szepesv{\'{a}}ri and Gang Niu and Sivan Sabato}, title = {Variational Inference with Locally Enhanced Bounds for Hierarchical Models}, booktitle = {International Conference on Machine Learning, {ICML} 2022, 17-23 July 2022, Baltimore, Maryland, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {162}, pages = {7310--7323}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v162/geffner22a.html}, timestamp = {Tue, 12 Jul 2022 17:36:52 +0200}, biburl = {https://dblp.org/rec/conf/icml/GeffnerD22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2203-04432, author = {Tomas Geffner and Justin Domke}, title = {Variational Inference with Locally Enhanced Bounds for Hierarchical Models}, journal = {CoRR}, volume = {abs/2203.04432}, year = {2022}, url = {https://doi.org/10.48550/arXiv.2203.04432}, doi = {10.48550/ARXIV.2203.04432}, eprinttype = {arXiv}, eprint = {2203.04432}, timestamp = {Wed, 16 Mar 2022 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/corr/abs-2203-04432.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2208-07743, author = {Tomas Geffner and Justin Domke}, title = {Langevin Diffusion Variational Inference}, journal = {CoRR}, volume = {abs/2208.07743}, year = {2022}, url = {https://doi.org/10.48550/arXiv.2208.07743}, doi = {10.48550/ARXIV.2208.07743}, eprinttype = {arXiv}, eprint = {2208.07743}, timestamp = {Mon, 22 Aug 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/abs-2208-07743.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2210-07290, author = {Xi Wang and Tomas Geffner and Justin Domke}, title = {A Dual Control Variate for doubly stochastic optimization and black-box variational inference}, journal = {CoRR}, volume = {abs/2210.07290}, year = {2022}, url = {https://doi.org/10.48550/arXiv.2210.07290}, doi = {10.48550/ARXIV.2210.07290}, eprinttype = {arXiv}, eprint = {2210.07290}, timestamp = {Tue, 18 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/abs-2210-07290.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/GeffnerD21, author = {Tomas Geffner and Justin Domke}, editor = {Marina Meila and Tong Zhang}, title = {On the difficulty of unbiased alpha divergence minimization}, 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 = {3650--3659}, publisher = {{PMLR}}, year = {2021}, url = {http://proceedings.mlr.press/v139/geffner21a.html}, timestamp = {Wed, 25 Aug 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/GeffnerD21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/nips/GeffnerD21, author = {Tomas Geffner and Justin Domke}, editor = {Marc'Aurelio Ranzato and Alina Beygelzimer and Yann N. Dauphin and Percy Liang and Jennifer Wortman Vaughan}, title = {{MCMC} Variational Inference via Uncorrected Hamiltonian Annealing}, booktitle = {Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual}, pages = {639--651}, year = {2021}, url = {https://proceedings.neurips.cc/paper/2021/hash/05f971b5ec196b8c65b75d2ef8267331-Abstract.html}, timestamp = {Tue, 03 May 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/nips/GeffnerD21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/nips/AgrawalD21, author = {Abhinav Agrawal and Justin Domke}, editor = {Marc'Aurelio Ranzato and Alina Beygelzimer and Yann N. Dauphin and Percy Liang and Jennifer Wortman Vaughan}, title = {Amortized Variational Inference for Simple Hierarchical Models}, booktitle = {Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual}, pages = {21388--21399}, year = {2021}, url = {https://proceedings.neurips.cc/paper/2021/hash/b28d7c6b6aec04f5525b453411ff4336-Abstract.html}, timestamp = {Tue, 03 May 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/nips/AgrawalD21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2103-01030, author = {Justin Domke}, title = {An Easy to Interpret Diagnostic for Approximate Inference: Symmetric Divergence Over Simulations}, journal = {CoRR}, volume = {abs/2103.01030}, year = {2021}, url = {https://arxiv.org/abs/2103.01030}, eprinttype = {arXiv}, eprint = {2103.01030}, timestamp = {Thu, 04 Mar 2021 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/corr/abs-2103-01030.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2105-06587, author = {Tomas Geffner and Justin Domke}, title = {Empirical Evaluation of Biased Methods for Alpha Divergence Minimization}, journal = {CoRR}, volume = {abs/2105.06587}, year = {2021}, url = {https://arxiv.org/abs/2105.06587}, eprinttype = {arXiv}, eprint = {2105.06587}, timestamp = {Tue, 18 May 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/abs-2105-06587.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2107-04150, author = {Tomas Geffner and Justin Domke}, title = {{MCMC} Variational Inference via Uncorrected Hamiltonian Annealing}, journal = {CoRR}, volume = {abs/2107.04150}, year = {2021}, url = {https://arxiv.org/abs/2107.04150}, eprinttype = {arXiv}, eprint = {2107.04150}, timestamp = {Tue, 20 Jul 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/abs-2107-04150.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2109-15134, author = {Jinlin Lai and Daniel Sheldon and Justin Domke}, title = {Variational Marginal Particle Filters}, journal = {CoRR}, volume = {abs/2109.15134}, year = {2021}, url = {https://arxiv.org/abs/2109.15134}, eprinttype = {arXiv}, eprint = {2109.15134}, timestamp = {Mon, 04 Oct 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/abs-2109-15134.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2111-03144, author = {Abhinav Agrawal and Justin Domke}, title = {Amortized Variational Inference for Simple Hierarchical Models}, journal = {CoRR}, volume = {abs/2111.03144}, year = {2021}, url = {https://arxiv.org/abs/2111.03144}, eprinttype = {arXiv}, eprint = {2111.03144}, timestamp = {Wed, 10 Nov 2021 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/corr/abs-2111-03144.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/aistats/GeffnerD20, author = {Tomas Geffner and Justin Domke}, editor = {Silvia Chiappa and Roberto Calandra}, title = {A Rule for Gradient Estimator Selection, with an Application to Variational Inference}, booktitle = {The 23rd International Conference on Artificial Intelligence and Statistics, {AISTATS} 2020, 26-28 August 2020, Online [Palermo, Sicily, Italy]}, series = {Proceedings of Machine Learning Research}, volume = {108}, pages = {1803--1812}, publisher = {{PMLR}}, year = {2020}, url = {http://proceedings.mlr.press/v108/geffner20a.html}, timestamp = {Mon, 29 Jun 2020 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/aistats/GeffnerD20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/Domke20, author = {Justin Domke}, title = {Provable Smoothness Guarantees for Black-Box Variational Inference}, 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 = {2587--2596}, publisher = {{PMLR}}, year = {2020}, url = {http://proceedings.mlr.press/v119/domke20a.html}, timestamp = {Tue, 15 Dec 2020 00:00:00 +0100}, biburl = {https://dblp.org/rec/conf/icml/Domke20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/nips/0001SD20, author = {Abhinav Agrawal and Daniel Sheldon and Justin Domke}, editor = {Hugo Larochelle and Marc'Aurelio Ranzato and Raia Hadsell and Maria{-}Florina Balcan and Hsuan{-}Tien Lin}, title = {Advances in Black-Box {VI:} Normalizing Flows, Importance Weighting, and 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/c91e3483cf4f90057d02aa492d2b25b1-Abstract.html}, timestamp = {Wed, 27 Apr 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/nips/0001SD20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/nips/GeffnerD20, author = {Tomas Geffner and Justin Domke}, editor = {Hugo Larochelle and Marc'Aurelio Ranzato and Raia Hadsell and Maria{-}Florina Balcan and Hsuan{-}Tien Lin}, title = {Approximation Based Variance Reduction for Reparameterization Gradients}, 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/193002e668758ea9762904da1a22337c-Abstract.html}, timestamp = {Tue, 19 Jan 2021 00:00:00 +0100}, biburl = {https://dblp.org/rec/conf/nips/GeffnerD20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2001-09771, author = {Justin Domke}, title = {Moment-Matching Conditions for Exponential Families with Conditioning or Hidden Data}, journal = {CoRR}, volume = {abs/2001.09771}, year = {2020}, url = {https://arxiv.org/abs/2001.09771}, eprinttype = {arXiv}, eprint = {2001.09771}, timestamp = {Thu, 30 Jan 2020 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/corr/abs-2001-09771.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2006-10343, author = {Abhinav Agrawal and Daniel Sheldon and Justin Domke}, title = {Advances in Black-Box {VI:} Normalizing Flows, Importance Weighting, and Optimization}, journal = {CoRR}, volume = {abs/2006.10343}, year = {2020}, url = {https://arxiv.org/abs/2006.10343}, eprinttype = {arXiv}, eprint = {2006.10343}, timestamp = {Mon, 31 Aug 2020 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/abs-2006-10343.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2007-14634, author = {Tomas Geffner and Justin Domke}, title = {Approximation Based Variance Reduction for Reparameterization Gradients}, journal = {CoRR}, volume = {abs/2007.14634}, year = {2020}, url = {https://arxiv.org/abs/2007.14634}, eprinttype = {arXiv}, eprint = {2007.14634}, timestamp = {Mon, 03 Aug 2020 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/abs-2007-14634.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2010-09541, author = {Tomas Geffner and Justin Domke}, title = {On the Difficulty of Unbiased Alpha Divergence Minimization}, journal = {CoRR}, volume = {abs/2010.09541}, year = {2020}, url = {https://arxiv.org/abs/2010.09541}, eprinttype = {arXiv}, eprint = {2010.09541}, timestamp = {Wed, 21 Oct 2020 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/abs-2010-09541.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/nips/Domke19, author = {Justin Domke}, editor = {Hanna M. Wallach and Hugo Larochelle and Alina Beygelzimer and Florence d'Alch{\'{e}}{-}Buc and Emily B. Fox and Roman Garnett}, title = {Provable Gradient Variance Guarantees for Black-Box Variational Inference}, 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 = {328--337}, year = {2019}, url = {https://proceedings.neurips.cc/paper/2019/hash/bd4c9ab730f5513206b999ec0d90d1fb-Abstract.html}, timestamp = {Mon, 16 May 2022 15:41:51 +0200}, biburl = {https://dblp.org/rec/conf/nips/Domke19.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/nips/DomkeS19, author = {Justin Domke and Daniel Sheldon}, editor = {Hanna M. Wallach and Hugo Larochelle and Alina Beygelzimer and Florence d'Alch{\'{e}}{-}Buc and Emily B. Fox and Roman Garnett}, title = {Divide and Couple: Using Monte Carlo Variational Objectives for Posterior Approximation}, 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 = {338--347}, year = {2019}, url = {https://proceedings.neurips.cc/paper/2019/hash/82aa4b0af34c2313a562076992e50aa3-Abstract.html}, timestamp = {Wed, 27 Apr 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/nips/DomkeS19.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/nips/PhanAD19, author = {My Phan and Yasin Abbasi{-}Yadkori and Justin Domke}, editor = {Hanna M. Wallach and Hugo Larochelle and Alina Beygelzimer and Florence d'Alch{\'{e}}{-}Buc and Emily B. Fox and Roman Garnett}, title = {Thompson Sampling and Approximate Inference}, 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 = {8801--8811}, year = {2019}, url = {https://proceedings.neurips.cc/paper/2019/hash/f3507289cfdc8c9ae93f4098111a13f9-Abstract.html}, timestamp = {Thu, 21 Jan 2021 00:00:00 +0100}, biburl = {https://dblp.org/rec/conf/nips/PhanAD19.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-1901-08431, author = {Justin Domke}, title = {Provable Smoothness Guarantees for Black-Box Variational Inference}, journal = {CoRR}, volume = {abs/1901.08431}, year = {2019}, url = {http://arxiv.org/abs/1901.08431}, eprinttype = {arXiv}, eprint = {1901.08431}, timestamp = {Sat, 02 Feb 2019 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/corr/abs-1901-08431.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-1906-08241, author = {Justin Domke}, title = {Provable Gradient Variance Guarantees for Black-Box Variational Inference}, journal = {CoRR}, volume = {abs/1906.08241}, year = {2019}, url = {http://arxiv.org/abs/1906.08241}, eprinttype = {arXiv}, eprint = {1906.08241}, timestamp = {Mon, 24 Jun 2019 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/abs-1906-08241.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-1906-10115, author = {Justin Domke and Daniel Sheldon}, title = {Divide and Couple: Using Monte Carlo Variational Objectives for Posterior Approximation}, journal = {CoRR}, volume = {abs/1906.10115}, year = {2019}, url = {http://arxiv.org/abs/1906.10115}, eprinttype = {arXiv}, eprint = {1906.10115}, timestamp = {Thu, 27 Jun 2019 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/abs-1906-10115.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-1908-04970, author = {My Phan and Yasin Abbasi{-}Yadkori and Justin Domke}, title = {Thompson Sampling and Approximate Inference}, journal = {CoRR}, volume = {abs/1908.04970}, year = {2019}, url = {http://arxiv.org/abs/1908.04970}, eprinttype = {arXiv}, eprint = {1908.04970}, timestamp = {Mon, 19 Aug 2019 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/abs-1908-04970.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-1911-01894, author = {Tomas Geffner and Justin Domke}, title = {A Rule for Gradient Estimator Selection, with an Application to Variational Inference}, journal = {CoRR}, volume = {abs/1911.01894}, year = {2019}, url = {http://arxiv.org/abs/1911.01894}, eprinttype = {arXiv}, eprint = {1911.01894}, timestamp = {Mon, 11 Nov 2019 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/corr/abs-1911-01894.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/nips/0002KCDH18, author = {Rui Li and Kishan KC and Feng Cui and Justin Domke and Anne R. Haake}, editor = {Samy Bengio and Hanna M. Wallach and Hugo Larochelle and Kristen Grauman and Nicol{\`{o}} Cesa{-}Bianchi and Roman Garnett}, title = {Sparse Covariance Modeling in High Dimensions with Gaussian Processes}, 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 = {741--750}, year = {2018}, url = {http://papers.nips.cc/paper/7354-sparse-covariance-modeling-in-high-dimensions-with-gaussian-processes}, timestamp = {Mon, 16 May 2022 15:41:51 +0200}, biburl = {https://dblp.org/rec/conf/nips/0002KCDH18.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/nips/DomkeS18, author = {Justin Domke and Daniel Sheldon}, editor = {Samy Bengio and Hanna M. Wallach and Hugo Larochelle and Kristen Grauman and Nicol{\`{o}} Cesa{-}Bianchi and Roman Garnett}, title = {Importance Weighting and Variational Inference}, 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 = {4475--4484}, year = {2018}, url = {https://proceedings.neurips.cc/paper/2018/hash/25db67c5657914454081c6a18e93d6dd-Abstract.html}, timestamp = {Wed, 27 Apr 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/nips/DomkeS18.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/nips/GeffnerD18, author = {Tomas Geffner and Justin Domke}, editor = {Samy Bengio and Hanna M. Wallach and Hugo Larochelle and Kristen Grauman and Nicol{\`{o}} Cesa{-}Bianchi and Roman Garnett}, title = {Using Large Ensembles of Control Variates for Variational Inference}, 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 = {9982--9992}, year = {2018}, url = {https://proceedings.neurips.cc/paper/2018/hash/dead35fa1512ad67301d09326177c42f-Abstract.html}, timestamp = {Thu, 21 Jan 2021 00:00:00 +0100}, biburl = {https://dblp.org/rec/conf/nips/GeffnerD18.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-1805-07785, author = {Ga Wu and Justin Domke and Scott Sanner}, title = {Conditional Inference in Pre-trained Variational Autoencoders via Cross-coding}, journal = {CoRR}, volume = {abs/1805.07785}, year = {2018}, url = {http://arxiv.org/abs/1805.07785}, eprinttype = {arXiv}, eprint = {1805.07785}, timestamp = {Mon, 13 Aug 2018 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/abs-1805-07785.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-1808-09034, author = {Justin Domke and Daniel Sheldon}, title = {Importance Weighting and Variational Inference}, journal = {CoRR}, volume = {abs/1808.09034}, year = {2018}, url = {http://arxiv.org/abs/1808.09034}, eprinttype = {arXiv}, eprint = {1808.09034}, timestamp = {Mon, 03 Sep 2018 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/abs-1808-09034.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-1810-12482, author = {Tomas Geffner and Justin Domke}, title = {Using Large Ensembles of Control Variates for Variational Inference}, journal = {CoRR}, volume = {abs/1810.12482}, year = {2018}, url = {http://arxiv.org/abs/1810.12482}, eprinttype = {arXiv}, eprint = {1810.12482}, timestamp = {Thu, 08 Nov 2018 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/corr/abs-1810-12482.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/Domke17, author = {Justin Domke}, editor = {Doina Precup and Yee Whye Teh}, title = {A Divergence Bound for Hybrids of {MCMC} and Variational Inference and an Application to Langevin Dynamics and {SGVI}}, 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 = {1029--1038}, publisher = {{PMLR}}, year = {2017}, url = {http://proceedings.mlr.press/v70/domke17a.html}, timestamp = {Wed, 29 May 2019 08:41:45 +0200}, biburl = {https://dblp.org/rec/conf/icml/Domke17.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/Domke17, author = {Justin Domke}, title = {A Divergence Bound for Hybrids of {MCMC} and Variational Inference and an Application to Langevin Dynamics and {SGVI}}, journal = {CoRR}, volume = {abs/1706.06529}, year = {2017}, url = {http://arxiv.org/abs/1706.06529}, eprinttype = {arXiv}, eprint = {1706.06529}, timestamp = {Mon, 13 Aug 2018 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/Domke17.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/aistats/WellerD16, author = {Adrian Weller and Justin Domke}, editor = {Arthur Gretton and Christian C. Robert}, title = {Clamping Improves {TRW} and Mean Field Approximations}, booktitle = {Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, {AISTATS} 2016, Cadiz, Spain, May 9-11, 2016}, series = {{JMLR} Workshop and Conference Proceedings}, volume = {51}, pages = {38--46}, publisher = {JMLR.org}, year = {2016}, url = {http://proceedings.mlr.press/v51/weller16a.html}, timestamp = {Wed, 29 May 2019 08:41:44 +0200}, biburl = {https://dblp.org/rec/conf/aistats/WellerD16.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/aaai/AbbasnejadDS15, author = {Ehsan Abbasnejad and Justin Domke and Scott Sanner}, editor = {Blai Bonet and Sven Koenig}, title = {Loss-Calibrated Monte Carlo Action Selection}, booktitle = {Proceedings of the Twenty-Ninth {AAAI} Conference on Artificial Intelligence, January 25-30, 2015, Austin, Texas, {USA}}, pages = {3447--3453}, publisher = {{AAAI} Press}, year = {2015}, url = {https://doi.org/10.1609/aaai.v29i1.9685}, doi = {10.1609/AAAI.V29I1.9685}, timestamp = {Mon, 18 Sep 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/aaai/AbbasnejadDS15.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/nips/Domke15, author = {Justin Domke}, editor = {Corinna Cortes and Neil D. Lawrence and Daniel D. Lee and Masashi Sugiyama and Roman Garnett}, title = {Maximum Likelihood Learning With Arbitrary Treewidth via Fast-Mixing Parameter Sets}, booktitle = {Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, December 7-12, 2015, Montreal, Quebec, Canada}, pages = {874--882}, year = {2015}, url = {https://proceedings.neurips.cc/paper/2015/hash/15de21c670ae7c3f6f3f1f37029303c9-Abstract.html}, timestamp = {Mon, 16 May 2022 15:41:51 +0200}, biburl = {https://dblp.org/rec/conf/nips/Domke15.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/nips/AfsharD15, author = {Hadi Mohasel Afshar and Justin Domke}, editor = {Corinna Cortes and Neil D. Lawrence and Daniel D. Lee and Masashi Sugiyama and Roman Garnett}, title = {Reflection, Refraction, and Hamiltonian Monte Carlo}, booktitle = {Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, December 7-12, 2015, Montreal, Quebec, Canada}, pages = {3007--3015}, year = {2015}, url = {https://proceedings.neurips.cc/paper/2015/hash/8303a79b1e19a194f1875981be5bdb6f-Abstract.html}, timestamp = {Thu, 21 Jan 2021 00:00:00 +0100}, biburl = {https://dblp.org/rec/conf/nips/AfsharD15.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/Domke15, author = {Justin Domke}, title = {Maximum Likelihood Learning With Arbitrary Treewidth via Fast-Mixing Parameter Sets}, journal = {CoRR}, volume = {abs/1509.08992}, year = {2015}, url = {http://arxiv.org/abs/1509.08992}, eprinttype = {arXiv}, eprint = {1509.08992}, timestamp = {Mon, 13 Aug 2018 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/Domke15.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/WellerD15, author = {Adrian Weller and Justin Domke}, title = {Clamping Improves {TRW} and Mean Field Approximations}, journal = {CoRR}, volume = {abs/1510.00087}, year = {2015}, url = {http://arxiv.org/abs/1510.00087}, eprinttype = {arXiv}, eprint = {1510.00087}, timestamp = {Mon, 13 Aug 2018 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/WellerD15.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/DefazioDC14, author = {Aaron Defazio and Justin Domke and Tib{\'{e}}rio S. Caetano}, title = {Finito: {A} faster, permutable incremental gradient method for big data problems}, booktitle = {Proceedings of the 31th International Conference on Machine Learning, {ICML} 2014, Beijing, China, 21-26 June 2014}, series = {{JMLR} Workshop and Conference Proceedings}, volume = {32}, pages = {1125--1133}, publisher = {JMLR.org}, year = {2014}, url = {http://proceedings.mlr.press/v32/defazio14.html}, timestamp = {Wed, 29 May 2019 08:41:45 +0200}, biburl = {https://dblp.org/rec/conf/icml/DefazioDC14.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/nips/LiuD14, author = {Xianghang Liu and Justin Domke}, editor = {Zoubin Ghahramani and Max Welling and Corinna Cortes and Neil D. Lawrence and Kilian Q. Weinberger}, title = {Projecting Markov Random Field Parameters for Fast Mixing}, booktitle = {Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, December 8-13 2014, Montreal, Quebec, Canada}, pages = {1377--1385}, year = {2014}, url = {https://proceedings.neurips.cc/paper/2014/hash/2823f4797102ce1a1aec05359cc16dd9-Abstract.html}, timestamp = {Mon, 16 May 2022 15:41:51 +0200}, biburl = {https://dblp.org/rec/conf/nips/LiuD14.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/DomkeL14, author = {Justin Domke and Xianghang Liu}, title = {Projecting Ising Model Parameters for Fast Mixing}, journal = {CoRR}, volume = {abs/1407.0749}, year = {2014}, url = {http://arxiv.org/abs/1407.0749}, eprinttype = {arXiv}, eprint = {1407.0749}, timestamp = {Mon, 13 Aug 2018 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/DomkeL14.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/Domke14, author = {Justin Domke}, title = {Structured Learning via Logistic Regression}, journal = {CoRR}, volume = {abs/1407.0754}, year = {2014}, url = {http://arxiv.org/abs/1407.0754}, eprinttype = {arXiv}, eprint = {1407.0754}, timestamp = {Mon, 13 Aug 2018 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/Domke14.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/DefazioCD14, author = {Aaron J. Defazio and Tib{\'{e}}rio S. Caetano and Justin Domke}, title = {Finito: {A} Faster, Permutable Incremental Gradient Method for Big Data Problems}, journal = {CoRR}, volume = {abs/1407.2710}, year = {2014}, url = {http://arxiv.org/abs/1407.2710}, eprinttype = {arXiv}, eprint = {1407.2710}, timestamp = {Mon, 13 Aug 2018 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/DefazioCD14.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/LiuD14d, author = {Xianghang Liu and Justin Domke}, title = {Projecting Markov Random Field Parameters for Fast Mixing}, journal = {CoRR}, volume = {abs/1411.1119}, year = {2014}, url = {http://arxiv.org/abs/1411.1119}, eprinttype = {arXiv}, eprint = {1411.1119}, timestamp = {Mon, 13 Aug 2018 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/LiuD14d.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/pami/Domke13, author = {Justin Domke}, title = {Learning Graphical Model Parameters with Approximate Marginal Inference}, journal = {{IEEE} Trans. Pattern Anal. Mach. Intell.}, volume = {35}, number = {10}, pages = {2454--2467}, year = {2013}, url = {https://doi.org/10.1109/TPAMI.2013.31}, doi = {10.1109/TPAMI.2013.31}, timestamp = {Wed, 14 Nov 2018 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/pami/Domke13.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/nips/Domke13, author = {Justin Domke}, editor = {Christopher J. C. Burges and L{\'{e}}on Bottou and Zoubin Ghahramani and Kilian Q. Weinberger}, title = {Structured Learning via Logistic Regression}, booktitle = {Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013, Lake Tahoe, Nevada, United States}, pages = {647--655}, year = {2013}, url = {https://proceedings.neurips.cc/paper/2013/hash/d9fc5b73a8d78fad3d6dffe419384e70-Abstract.html}, timestamp = {Mon, 16 May 2022 15:41:51 +0200}, biburl = {https://dblp.org/rec/conf/nips/Domke13.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/nips/DomkeL13, author = {Justin Domke and Xianghang Liu}, editor = {Christopher J. C. Burges and L{\'{e}}on Bottou and Zoubin Ghahramani and Kilian Q. Weinberger}, title = {Projecting Ising Model Parameters for Fast Mixing}, booktitle = {Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013, Lake Tahoe, Nevada, United States}, pages = {665--673}, year = {2013}, url = {https://proceedings.neurips.cc/paper/2013/hash/5a4b25aaed25c2ee1b74de72dc03c14e-Abstract.html}, timestamp = {Thu, 21 Jan 2021 00:00:00 +0100}, biburl = {https://dblp.org/rec/conf/nips/DomkeL13.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-1301-3193, author = {Justin Domke}, title = {Learning Graphical Model Parameters with Approximate Marginal Inference}, journal = {CoRR}, volume = {abs/1301.3193}, year = {2013}, url = {http://arxiv.org/abs/1301.3193}, eprinttype = {arXiv}, eprint = {1301.3193}, timestamp = {Mon, 13 Aug 2018 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/abs-1301-3193.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:journals/jmlr/Domke12, author = {Justin Domke}, editor = {Neil D. Lawrence and Mark A. Girolami}, title = {Generic Methods for Optimization-Based Modeling}, booktitle = {Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, {AISTATS} 2012, La Palma, Canary Islands, Spain, April 21-23, 2012}, series = {{JMLR} Proceedings}, volume = {22}, pages = {318--326}, publisher = {JMLR.org}, year = {2012}, url = {http://proceedings.mlr.press/v22/domke12.html}, timestamp = {Wed, 29 May 2019 08:41:44 +0200}, biburl = {https://dblp.org/rec/journals/jmlr/Domke12.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-1206-3247, author = {Justin Domke}, title = {Learning Convex Inference of Marginals}, journal = {CoRR}, volume = {abs/1206.3247}, year = {2012}, url = {http://arxiv.org/abs/1206.3247}, eprinttype = {arXiv}, eprint = {1206.3247}, timestamp = {Mon, 13 Aug 2018 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/abs-1206-3247.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/aaai/Domke11, author = {Justin Domke}, editor = {Wolfram Burgard and Dan Roth}, title = {Dual Decomposition for Marginal Inference}, booktitle = {Proceedings of the Twenty-Fifth {AAAI} Conference on Artificial Intelligence, {AAAI} 2011, San Francisco, California, USA, August 7-11, 2011}, pages = {1037--1042}, publisher = {{AAAI} Press}, year = {2011}, url = {https://doi.org/10.1609/aaai.v25i1.8023}, doi = {10.1609/AAAI.V25I1.8023}, timestamp = {Mon, 04 Sep 2023 16:05:54 +0200}, biburl = {https://dblp.org/rec/conf/aaai/Domke11.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/cvpr/Domke11, author = {Justin Domke}, title = {Parameter learning with truncated message-passing}, booktitle = {The 24th {IEEE} Conference on Computer Vision and Pattern Recognition, {CVPR} 2011, Colorado Springs, CO, USA, 20-25 June 2011}, pages = {2937--2943}, publisher = {{IEEE} Computer Society}, year = {2011}, url = {https://doi.org/10.1109/CVPR.2011.5995320}, doi = {10.1109/CVPR.2011.5995320}, timestamp = {Fri, 24 Mar 2023 00:00:00 +0100}, biburl = {https://dblp.org/rec/conf/cvpr/Domke11.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/nips/Domke10, author = {Justin Domke}, editor = {John D. Lafferty and Christopher K. I. Williams and John Shawe{-}Taylor and Richard S. Zemel and Aron Culotta}, title = {Implicit Differentiation by Perturbation}, booktitle = {Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, Vancouver, British Columbia, Canada}, pages = {523--531}, publisher = {Curran Associates, Inc.}, year = {2010}, url = {https://proceedings.neurips.cc/paper/2010/hash/6ecbdd6ec859d284dc13885a37ce8d81-Abstract.html}, timestamp = {Mon, 16 May 2022 15:41:51 +0200}, biburl = {https://dblp.org/rec/conf/nips/Domke10.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@phdthesis{DBLP:phd/basesearch/Domke09, author = {Justin Domke}, title = {Tractable Learning and Inference in High-Treewidth Graphical Models}, school = {University of Maryland, College Park, MD, {USA}}, year = {2009}, url = {https://hdl.handle.net/1903/9720}, timestamp = {Wed, 04 May 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/phd/basesearch/Domke09.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/pami/DomkeA09, author = {Justin Domke and Yiannis Aloimonos}, title = {Image Transformations and Blurring}, journal = {{IEEE} Trans. Pattern Anal. Mach. Intell.}, volume = {31}, number = {5}, pages = {811--823}, year = {2009}, url = {https://doi.org/10.1109/TPAMI.2008.133}, doi = {10.1109/TPAMI.2008.133}, timestamp = {Wed, 14 Nov 2018 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/pami/DomkeA09.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/cvpr/DomkeKA08, author = {Justin Domke and Alap Karapurkar and Yiannis Aloimonos}, title = {Who killed the directed model?}, booktitle = {2008 {IEEE} Computer Society Conference on Computer Vision and Pattern Recognition {(CVPR} 2008), 24-26 June 2008, Anchorage, Alaska, {USA}}, publisher = {{IEEE} Computer Society}, year = {2008}, url = {https://doi.org/10.1109/CVPR.2008.4587817}, doi = {10.1109/CVPR.2008.4587817}, timestamp = {Fri, 24 Mar 2023 00:00:00 +0100}, biburl = {https://dblp.org/rec/conf/cvpr/DomkeKA08.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icassp/BitsakosDFA08, author = {Konstantinos Bitsakos and Justin Domke and Cornelia Ferm{\"{u}}ller and Yiannis Aloimonos}, title = {Measuring 1\({}^{\mbox{st}}\) order stretchwith a single filter}, booktitle = {Proceedings of the {IEEE} International Conference on Acoustics, Speech, and Signal Processing, {ICASSP} 2008, March 30 - April 4, 2008, Caesars Palace, Las Vegas, Nevada, {USA}}, pages = {909--912}, publisher = {{IEEE}}, year = {2008}, url = {https://doi.org/10.1109/ICASSP.2008.4517758}, doi = {10.1109/ICASSP.2008.4517758}, timestamp = {Fri, 19 May 2017 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icassp/BitsakosDFA08.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/uai/Domke08, author = {Justin Domke}, editor = {David A. McAllester and Petri Myllym{\"{a}}ki}, title = {Learning Convex Inference of Marginals}, booktitle = {{UAI} 2008, Proceedings of the 24th Conference in Uncertainty in Artificial Intelligence, Helsinki, Finland, July 9-12, 2008}, pages = {137--144}, publisher = {{AUAI} Press}, year = {2008}, url = {https://dslpitt.org/uai/displayArticleDetails.jsp?mmnu=1\&\#38;smnu=2\&\#38;article\_id=1323\&\#38;proceeding\_id=24}, timestamp = {Wed, 03 Feb 2021 00:00:00 +0100}, biburl = {https://dblp.org/rec/conf/uai/Domke08.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/cvpr/DomkeA07, author = {Justin Domke and Yiannis Aloimonos}, title = {Multiple View Image Reconstruction: {A} Harmonic Approach}, booktitle = {2007 {IEEE} Computer Society Conference on Computer Vision and Pattern Recognition {(CVPR} 2007), 18-23 June 2007, Minneapolis, Minnesota, {USA}}, publisher = {{IEEE} Computer Society}, year = {2007}, url = {https://doi.org/10.1109/CVPR.2007.383285}, doi = {10.1109/CVPR.2007.383285}, timestamp = {Fri, 24 Mar 2023 00:00:00 +0100}, biburl = {https://dblp.org/rec/conf/cvpr/DomkeA07.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/iccv/DomkeA07, author = {Justin Domke and Yiannis Aloimonos}, title = {Signals on Pencils of Lines}, booktitle = {{IEEE} 11th International Conference on Computer Vision, {ICCV} 2007, Rio de Janeiro, Brazil, October 14-20, 2007}, pages = {1--7}, publisher = {{IEEE} Computer Society}, year = {2007}, url = {https://doi.org/10.1109/ICCV.2007.4409110}, doi = {10.1109/ICCV.2007.4409110}, timestamp = {Thu, 23 Mar 2023 00:00:00 +0100}, biburl = {https://dblp.org/rec/conf/iccv/DomkeA07.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/3dpvt/DomkeA06, author = {Justin Domke and Yiannis Aloimonos}, title = {A Probabilistic Notion of Correspondence and the Epipolar Constraint}, booktitle = {3rd International Symposium on 3D Data Processing, Visualization and Transmission {(3DPVT} 2006), 14-16 June 2006, Chapel Hill, North Carolina, {USA}}, pages = {41--48}, publisher = {{IEEE} Computer Society}, year = {2006}, url = {https://doi.org/10.1109/3DPVT.2006.18}, doi = {10.1109/3DPVT.2006.18}, timestamp = {Fri, 24 Mar 2023 00:00:00 +0100}, biburl = {https://dblp.org/rec/conf/3dpvt/DomkeA06.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/bmvc/DomkeA06, author = {Justin Domke and Yiannis Aloimonos}, editor = {Mike J. Chantler and Robert B. Fisher and Emanuele Trucco}, title = {Deformation and Viewpoint Invariant Color Histograms}, booktitle = {Proceedings of the British Machine Vision Conference 2006, Edinburgh, UK, September 4-7, 2006}, pages = {509--518}, publisher = {British Machine Vision Association}, year = {2006}, url = {https://doi.org/10.5244/C.20.53}, doi = {10.5244/C.20.53}, timestamp = {Wed, 03 Feb 2021 00:00:00 +0100}, biburl = {https://dblp.org/rec/conf/bmvc/DomkeA06.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/eccv/DomkeA06, author = {Justin Domke and Yiannis Aloimonos}, editor = {Ren{\'{e}} Vidal and Anders Heyden and Yi Ma}, title = {A Probabilistic Framework for Correspondence and Egomotion}, booktitle = {Dynamical Vision, {ICCV} 2005 and {ECCV} 2006 Workshops, {WDV} 2005 and {WDV} 2006, Beijing, China, October 21, 2005, Graz, Austria, May 13, 2006. Revised Papers}, series = {Lecture Notes in Computer Science}, volume = {4358}, pages = {232--242}, publisher = {Springer}, year = {2006}, url = {https://doi.org/10.1007/978-3-540-70932-9\_18}, doi = {10.1007/978-3-540-70932-9\_18}, timestamp = {Tue, 14 May 2019 10:00:45 +0200}, biburl = {https://dblp.org/rec/conf/eccv/DomkeA06.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icra/DomkeA06, author = {Justin Domke and Yiannis Aloimonos}, title = {Integration of Visual and Inertial Information for Egomotion: a Stochastic Approach}, booktitle = {Proceedings of the 2006 {IEEE} International Conference on Robotics and Automation, {ICRA} 2006, May 15-19, 2006, Orlando, Florida, {USA}}, pages = {2053--2059}, publisher = {{IEEE}}, year = {2006}, url = {https://doi.org/10.1109/ROBOT.2006.1642007}, doi = {10.1109/ROBOT.2006.1642007}, timestamp = {Mon, 22 May 2017 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icra/DomkeA06.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.