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30 Results
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Poster
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Tue 14:00 |
Posterior Collapse of a Linear Latent Variable Model Zihao Wang · Liu Ziyin |
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Poster
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Tue 14:00 |
On the detrimental effect of invariances in the likelihood for variational inference Richard Kurle · Ralf Herbrich · Tim Januschowski · Yuyang (Bernie) Wang · Jan Gasthaus |
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Poster
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Wed 14:00 |
Posterior and Computational Uncertainty in Gaussian Processes Jonathan Wenger · Geoff Pleiss · Marvin Pförtner · Philipp Hennig · John Cunningham |
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Poster
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Wed 14:00 |
Alleviating "Posterior Collapse'' in Deep Topic Models via Policy Gradient Yewen Li · Chaojie Wang · Zhibin Duan · Dongsheng Wang · Bo Chen · Bo An · Mingyuan Zhou |
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Poster
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Thu 9:00 |
Asymptotic Properties for Bayesian Neural Network in Besov Space Kyeongwon Lee · Jaeyong Lee |
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Poster
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Wed 9:00 |
Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks Agustinus Kristiadi · Runa Eschenhagen · Philipp Hennig |
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Poster
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Wed 9:00 |
Optimistic Posterior Sampling for Reinforcement Learning with Few Samples and Tight Guarantees Daniil Tiapkin · Denis Belomestny · Daniele Calandriello · Eric Moulines · Remi Munos · Alexey Naumov · Mark Rowland · Michal Valko · Pierre Ménard |
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Poster
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Wed 14:00 |
Towards a Unified Framework for Uncertainty-aware Nonlinear Variable Selection with Theoretical Guarantees Wenying Deng · Beau Coker · Rajarshi Mukherjee · Jeremiah Liu · Brent Coull |
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Poster
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Wed 9:00 |
Model-based RL with Optimistic Posterior Sampling: Structural Conditions and Sample Complexity Alekh Agarwal · Tong Zhang |
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Poster
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Tue 14:00 |
Robust Neural Posterior Estimation and Statistical Model Criticism Daniel Ward · Patrick Cannon · Mark Beaumont · Matteo Fasiolo · Sebastian Schmon |
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Poster
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Tue 14:00 |
Improving Variational Autoencoders with Density Gap-based Regularization Jianfei Zhang · Jun Bai · Chenghua Lin · Yanmeng Wang · Wenge Rong |
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Panel
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Tue 9:45 |
Panel 1A-2: Posterior Collapse of… & Understanding and Extending… Fabrizio Frasca · Liu Ziyin |