Search All 2021 Events
 

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Poster
Mon 17:00 Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images
Rewon Child
Spotlight
Mon 12:55 Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images
Rewon Child
Poster
Mon 17:00 Offline Model-Based Optimization via Normalized Maximum Likelihood Estimation
Justin Fu · Sergey Levine
Spotlight
Wed 5:35 Neural Approximate Sufficient Statistics for Implicit Models
Yanzhi Chen · Dinghuai Zhang · Michael U Gutmann · Aaron Courville · Zhanxing Zhu
Workshop
Fri 11:54 Poster Spotlight "Simulation-based Scoring for Model-based Asynchronous Hyperparameter and Neural Architecture Search"
Matthias Seeger
Poster
Mon 1:00 Neural Approximate Sufficient Statistics for Implicit Models
Yanzhi Chen · Dinghuai Zhang · Michael U Gutmann · Aaron Courville · Zhanxing Zhu
Poster
Mon 17:00 Learning Energy-Based Models by Diffusion Recovery Likelihood
Ruiqi Gao · Yang Song · Ben Poole · Yingnian Wu · Durk Kingma
Workshop
COMBO: Conservative Offline Model-Based Policy Optimization
Tianhe Yu · Aviral Kumar · Aravind Rajeswaran · Rafael Rafailov · Sergey Levine · Chelsea Finn
Workshop
Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method
Zuxin Liu
Poster
Thu 1:00 Contrastive Divergence Learning is a Time Reversal Adversarial Game
Omer Yair · Tomer Michaeli
Spotlight
Mon 5:45 Contrastive Divergence Learning is a Time Reversal Adversarial Game
Omer Yair · Tomer Michaeli
Poster
Wed 17:00 Control-Aware Representations for Model-based Reinforcement Learning
Brandon Cui · Yinlam Chow · Mohammad Ghavamzadeh