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