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21 Results
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Poster
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Tue 7:30 |
Extreme Q-Learning: MaxEnt RL without Entropy Divyansh Garg · Joey Hejna · Matthieu Geist · Stefano Ermon |
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Oral
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Tue 7:10 |
Extreme Q-Learning: MaxEnt RL without Entropy Divyansh Garg · Joey Hejna · Matthieu Geist · Stefano Ermon |
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Poster
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A Learning Based Hypothesis Test for Harmful Covariate Shift Tom Ginsberg · Zhongyuan Liang · Rahul G. Krishnan |
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Poster
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Characteristic Neural Ordinary Differential Equation XINGZI XU · Ali Hasan · Khalil Elkhalil · Jie Ding · VAHID TAROKH |
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Poster
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Wed 7:30 |
A Statistical Framework for Personalized Federated Learning and Estimation: Theory, Algorithms, and Privacy Kaan Ozkara · Antonious Bebawy · Deepesh Data · Suhas Diggavi |
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Poster
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Mon 7:30 |
Optimizing Spca-based Continual Learning: A Theoretical Approach Chunchun Yang · Malik Tiomoko · Zengfu Wang |
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Poster
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Wed 7:30 |
Strong inductive biases provably prevent harmless interpolation Michael Aerni · Marco Milanta · Konstantin Donhauser · Fanny Yang |
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Poster
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Wed 7:30 |
Interneurons accelerate learning dynamics in recurrent neural networks for statistical adaptation David Lipshutz · Cengiz Pehlevan · Dmitri Chklovskii |
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Poster
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PAC Reinforcement Learning for Predictive State Representations Wenhao Zhan · Masatoshi Uehara · Wen Sun · Jason Lee |
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Poster
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Tue 2:30 |
Efficient Deep Reinforcement Learning Requires Regulating Overfitting Qiyang Li · Aviral Kumar · Ilya Kostrikov · Sergey Levine |
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Oral
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Wed 7:00 |
Learning with Stochastic Orders Carles Domingo i Enrich · Yair Schiff · Youssef Mroueh |
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Poster
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Decentralized Optimistic Hyperpolicy Mirror Descent: Provably No-Regret Learning in Markov Games Wenhao Zhan · Jason Lee · Zhuoran Yang |