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Poster
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Understanding the Generalization of Adam in Learning Neural Networks with Proper Regularization
Difan Zou · Yuan Cao · Yuanzhi Li · Quanquan Gu
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Poster
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Wed 2:30
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FINDE: Neural Differential Equations for Finding and Preserving Invariant Quantities
Takashi Matsubara · Takaharu Yaguchi
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Oral Session
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Mon 1:00
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Oral 1 Track 2: Machine Learning for Sciences
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Poster
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Wed 7:30
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Offline RL for Natural Language Generation with Implicit Language Q Learning
Charlie Snell · Ilya Kostrikov · Yi Su · Sherry Yang · Sergey Levine
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Oral Session
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Mon 1:00
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Oral 1 Track 4: Social Aspects of Machine Learning
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Poster
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Fantastic Rewards and How to Tame Them: A Case Study on Reward Learning for Task-oriented Dialogue Systems
Yihao Feng · Shentao Yang · Shujian Zhang · Jianguo Zhang · Caiming Xiong · Mingyuan Zhou · Huan Wang
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Oral Session
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Mon 6:00
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Oral 2 Track 3: Generative models
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Poster
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Human alignment of neural network representations
Lukas Muttenthaler · Jonas Dippel · Lorenz Johannes Linhardt · Robert A Vandermeulen · Simon Kornblith
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Oral Session
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Mon 6:00
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Oral 2 Track 1: Applications
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Poster
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Risk-Aware Reinforcement Learning with Coherent Risk Measures and Non-linear Function Approximation
Thanh Steve Lam · Arun Verma · Bryan Kian Hsiang Low · Patrick Jaillet
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Poster Session
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Wed 7:30
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Poster Session 6
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Oral Session
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Tue 1:00
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Oral 3 Track 1: Reinforcement Learning
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