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33 Results
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Poster
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Wed 2:30 |
Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning Chenjia Bai · Lingxiao Wang · Zhuoran Yang · Zhihong Deng · Animesh Garg · Peng Liu · Zhaoran Wang |
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Spotlight
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Wed 2:30 |
Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning Chenjia Bai · Lingxiao Wang · Zhuoran Yang · Zhihong Deng · Animesh Garg · Peng Liu · Zhaoran Wang |
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Spotlight
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Tue 2:30 |
Learning Optimal Conformal Classifiers David Stutz · Krishnamurthy Dvijotham · Ali Taylan Cemgil · Arnaud Doucet |
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Poster
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Mon 18:30 |
Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How Yuning You · Yue Cao · Tianlong Chen · Zhangyang Wang · Yang Shen |
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Poster
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Tue 10:30 |
On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks Maximilian Seitzer · Arash Tavakoli · Dimitrije Antic · Georg Martius |
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Spotlight
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Thu 10:30 |
Autoregressive Quantile Flows for Predictive Uncertainty Estimation Phillip Si · Allan Bishop · Volodymyr Kuleshov |
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Poster
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Tue 2:30 |
The Evolution of Uncertainty of Learning in Games Yun Kuen Cheung · Georgios Piliouras · Yixin Tao |
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Poster
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Mon 10:30 |
Revisiting Design Choices in Offline Model Based Reinforcement Learning Cong Lu · Philip Ball · Jack Parker-Holder · Michael Osborne · S Roberts |
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Poster
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Thu 2:30 |
Adversarially Robust Conformal Prediction Asaf Gendler · Tsui-Wei Weng · Luca Daniel · Yaniv Romano |
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Spotlight
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Wed 2:30 |
Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions Bertrand Charpentier · Oliver Borchert · Daniel Zügner · Simon Geisler · Stephan Günnemann |
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Poster
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Wed 10:30 |
Heteroscedastic Temporal Variational Autoencoder For Irregularly Sampled Time Series Satya Narayan Shukla · Benjamin M Marlin |
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Poster
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Tue 2:30 |
Learning Optimal Conformal Classifiers David Stutz · Krishnamurthy Dvijotham · Ali Taylan Cemgil · Arnaud Doucet |