Qiao, Dan

14 publications

AISTATS 2025 Multi-Agent Credit Assignment with Pretrained Language Models Wenhao Li, Dan Qiao, Baoxiang Wang, Xiangfeng Wang, Wei Yin, Hao Shen, Bo Jin, Hongyuan Zha

L4DC 2025 Rates for Offline Reinforcement Learning with Adaptively Collected Data Sunil Madhow, Dan Qiao, Ming Yin, Yu-Xiang Wang

NeurIPS 2025 Stable Minima of ReLU Neural Networks Suffer from the Curse of Dimensionality: The Neural Shattering Phenomenon Tongtong Liang, Dan Qiao, Yu-Xiang Wang, Rahul Parhi

NeurIPS 2024 Differentially Private Reinforcement Learning with Self-Play Dan Qiao, Yu-Xiang Wang

ICML 2024 Near-Optimal Reinforcement Learning with Self-Play Under Adaptivity Constraints Dan Qiao, Yu-Xiang Wang

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

AISTATS 2023 Doubly Fair Dynamic Pricing Jianyu Xu, Dan Qiao, Yu-Xiang Wang

ICLR 2023 Near-Optimal Deployment Efficiency in Reward-Free Reinforcement Learning with Linear Function Approximation Dan Qiao, Yu-Xiang Wang

AISTATS 2023 Near-Optimal Differentially Private Reinforcement Learning Dan Qiao, Yu-Xiang Wang

NeurIPS 2023 Offline Reinforcement Learning with Differential Privacy Dan Qiao, Yu-Xiang Wang

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

NeurIPSW 2022 Near-Optimal Deployment Efficiency in Reward-Free Reinforcement Learning with Linear Function Approximation Dan Qiao, Yu-Xiang Wang

NeurIPSW 2022 Offline Policy Evaluation for Reinforcement Learning with Adaptively Collected Data Sunil Madhow, Dan Qiao, Yu-Xiang Wang

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