ML Anthology

Li, Gene

10 publications

COLT 2025 The Role of Environment Access in Agnostic Reinforcement Learning (Extended Abstract) Akshay Krishnamurthy, Gene Li, Ayush Sekhari
ALT 2024 Dueling Optimization with a Monotone Adversary Avrim Blum, Meghal Gupta, Gene Li, Naren Sarayu Manoj, Aadirupa Saha, Yuanyuan Yang
COLT 2024 Optimistic Rates for Learning from Label Proportions Gene Li, Lin Chen, Adel Javanmard, Vahab Mirrokni
NeurIPSW 2023 Dueling Optimization with a Monotone Adversary Avrim Blum, Meghal Gupta, Gene Li, Naren Sarayu Manoj, Aadirupa Saha, Yuanyuan Yang
NeurIPS 2023 When Is Agnostic Reinforcement Learning Statistically Tractable? Zeyu Jia, Gene Li, Alexander Rakhlin, Ayush Sekhari, Nati Srebro
ICMLW 2023 When Is Agnostic Reinforcement Learning Statistically Tractable? Gene Li, Zeyu Jia, Alexander Rakhlin, Ayush Sekhari, Nathan Srebro
NeurIPS 2022 Exponential Family Model-Based Reinforcement Learning via Score Matching Gene Li, Junbo Li, Anmol Kabra, Nati Srebro, Zhaoran Wang, Zhuoran Yang
NeurIPS 2022 Pessimism for Offline Linear Contextual Bandits Using $\ell_p$ Confidence Sets Gene Li, Cong Ma, Nati Srebro
NeurIPS 2022 Understanding the Eluder Dimension Gene Li, Pritish Kamath, Dylan J Foster, Nati Srebro
NeurIPSW 2021 Exponential Family Model-Based Reinforcement Learning via Score Matching Gene Li, Junbo Li, Nathan Srebro, Zhaoran Wang, Zhuoran Yang