Sample-Efficient Reinforcement Learning with loglog(T) Switching Cost. - Dan Qiao 002; Ming Yin 003; Ming Min; Yu-Xiang Wang 003 (ICML, 2022)

Differentially Private Linear Sketches: Efficient Implementations and Applications. - Fuheng Zhao; Dan Qiao 002; Rachel Redberg; Divyakant Agrawal; Amr El Abbadi; Yu-Xiang Wang 003 (NeurIPS, 2022)

Near-Optimal Differentially Private Reinforcement Learning. - Dan Qiao 002; Yu-Xiang Wang 003 (AISTATS, 2023)

Doubly Fair Dynamic Pricing. - Jianyu Xu; Dan Qiao 002; Yu-Xiang Wang 003 (AISTATS, 2023)

Near-Optimal Deployment Efficiency in Reward-Free Reinforcement Learning with Linear Function Approximation. - Dan Qiao 002; Yu-Xiang Wang 003 (ICLR, 2023)

Offline Reinforcement Learning with Differential Privacy. - Dan Qiao 002; Yu-Xiang Wang 003 (NeurIPS, 2023)

Logarithmic Switching Cost in Reinforcement Learning beyond Linear MDPs. - Dan Qiao 002; Ming Yin 003; Yu-Xiang Wang 003 (CoRR, 2023)

Near-Optimal Reinforcement Learning with Self-Play under Adaptivity Constraints. - Dan Qiao 002; Yu-Xiang Wang 003 (ICML, 2024)

Differentially Private Reinforcement Learning with Self-Play. - Dan Qiao 002; Yu-Xiang Wang 003 (NeurIPS, 2024)

Stable Minima Cannot Overfit in Univariate ReLU Networks: Generalization by Large Step Sizes. - Dan Qiao 002; Kaiqi Zhang 002; Esha Singh; Daniel Soudry; Yu-Xiang Wang 003 (NeurIPS, 2024)