Specialty technology for loT. - Gene Li (VLSI-DAT, 2015)

Eluder Dimension and Generalized Rank. - Gene Li; Pritish Kamath; Dylan J. Foster; Nathan Srebro (CoRR, 2021)

Exponential Family Model-Based Reinforcement Learning via Score Matching. - Gene Li; Junbo Li 003; Nathan Srebro; Zhaoran Wang 001; Zhuoran Yang (CoRR, 2021)

Understanding the Eluder Dimension. - Gene Li; Pritish Kamath; Dylan J. Foster; Nati Srebro (NeurIPS, 2022)

Exponential Family Model-Based Reinforcement Learning via Score Matching. - Gene Li; Junbo Li 003; Anmol Kabra; Nati Srebro; Zhaoran Wang 001; Zhuoran Yang (NeurIPS, 2022)

Pessimism for Offline Linear Contextual Bandits using $ ell_p$ Confidence Sets. - Gene Li; Cong Ma; Nati Srebro (NeurIPS, 2022)

Pessimism for Offline Linear Contextual Bandits using 𝓁p Confidence Sets. - Gene Li; Cong Ma; Nathan Srebro (CoRR, 2022)

When is Agnostic Reinforcement Learning Statistically Tractable? - Zeyu Jia; Gene Li; Alexander Rakhlin; Ayush Sekhari; Nati Srebro (NeurIPS, 2023)

Dueling Optimization with a Monotone Adversary. - Avrim Blum; Meghal Gupta; Gene Li; Naren Sarayu Manoj; Aadirupa Saha; Yuanyuan Yang (ALT, 2024)

Optimistic Rates for Learning from Label Proportions. - Gene Li; Lin Chen; Adel Javanmard; Vahab Mirrokni (COLT, 2024)

The Role of Environment Access in Agnostic Reinforcement Learning (Extended Abstract). - Akshay Krishnamurthy; Gene Li; Ayush Sekhari (COLT, 2025)

The Role of Environment Access in Agnostic Reinforcement Learning. - Akshay Krishnamurthy; Gene Li; Ayush Sekhari (CoRR, 2025)

Agnostic Reinforcement Learning: Foundations and Algorithms. - Gene Li (CoRR, 2025)