Gene Li - RankMe

17 papers A* 6B 1Journal 9Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Agnostic Reinforcement Learning: Foundations and Algorithms. CoRR Gene Li
2025	J	`jnl`	Learning to Answer from Correct Demonstrations. CoRR Nirmit Joshi, Gene Li, Siddharth Bhandari, Shiva Prasad Kasiviswanathan, Cong Ma, Nathan Srebro
2025	A*	`conf`	The Role of Environment Access in Agnostic Reinforcement Learning (Extended Abstract). COLT Akshay Krishnamurthy, Gene Li, Ayush Sekhari
2025	J	`jnl`	The Role of Environment Access in Agnostic Reinforcement Learning. CoRR Akshay Krishnamurthy, Gene Li, Ayush Sekhari
2024	B	`conf`	Dueling Optimization with a Monotone Adversary. ALT Avrim Blum, Meghal Gupta, Gene Li, Naren Sarayu Manoj, Aadirupa Saha, Yuanyuan Yang
2024	A*	`conf`	Optimistic Rates for Learning from Label Proportions. COLT Gene Li, Lin Chen, Adel Javanmard, Vahab Mirrokni
2024	J	`jnl`	Optimistic Rates for Learning from Label Proportions. CoRR Gene Li, Lin Chen, Adel Javanmard, Vahab Mirrokni
2023	J	`jnl`	Dueling Optimization with a Monotone Adversary. CoRR Avrim Blum, Meghal Gupta, Gene Li, Naren Sarayu Manoj, Aadirupa Saha, Yuanyuan Yang
2023	A*	`conf`	When is Agnostic Reinforcement Learning Statistically Tractable? NeurIPS Zeyu Jia, Gene Li, Alexander Rakhlin, Ayush Sekhari, Nati Srebro
2023	J	`jnl`	When is Agnostic Reinforcement Learning Statistically Tractable? CoRR Zeyu Jia, Gene Li, Alexander Rakhlin, Ayush Sekhari, Nathan Srebro
2022	A*	`conf`	Exponential Family Model-Based Reinforcement Learning via Score Matching. NeurIPS Gene Li, Junbo Li, Anmol Kabra, Nati Srebro, Zhaoran Wang, Zhuoran Yang
2022	A*	`conf`	Pessimism for Offline Linear Contextual Bandits using $\ell_p$ Confidence Sets. NeurIPS Gene Li, Cong Ma, Nati Srebro
2022	J	`jnl`	Pessimism for Offline Linear Contextual Bandits using 𝓁 CoRR Gene Li, Cong Ma, Nathan Srebro
2022	A*	`conf`	Understanding the Eluder Dimension. NeurIPS Gene Li, Pritish Kamath, Dylan J. Foster, Nati Srebro
2021	J	`jnl`	Eluder Dimension and Generalized Rank. CoRR Gene Li, Pritish Kamath, Dylan J. Foster, Nathan Srebro
2021	J	`jnl`	Exponential Family Model-Based Reinforcement Learning via Score Matching. CoRR Gene Li, Junbo Li, Nathan Srebro, Zhaoran Wang, Zhuoran Yang
2015	—	`conf`	Specialty technology for loT. VLSI-DAT Gene Li