Dan Qiao

23 papers A* 7A 2Journal 13Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Does Flatness imply Generalization for Logistic Loss in Univariate Two-Layer ReLU Network?
CoRR
Dan Qiao, Yu-Xiang Wang
2025 J jnl
No-Regret Linear Bandits under Gap-Adjusted Misspecification.
CoRR
Chong Liu, Dan Qiao, Ming Yin, Ilija Bogunovic, Yuxiang Wang
2025 — conf
Rates for Offline Reinforcement Learning with Adaptively Collected Data.
L4DC
Sunil Madhow, Dan Qiao, Ming Yin, Yuxiang Wang
2025 J jnl
Stable Minima of ReLU Neural Networks Suffer from the Curse of Dimensionality: The Neural Shattering Phenomenon.
CoRR
Tongtong Liang, Dan Qiao, Yuxiang Wang, Rahul Parhi
2024 A* conf
Differentially Private Reinforcement Learning with Self-Play.
NeurIPS
Dan Qiao, Yu-Xiang Wang
2024 J jnl
Differentially Private Reinforcement Learning with Self-Play.
CoRR
Dan Qiao, Yu-Xiang Wang
2024 A* conf
Near-Optimal Reinforcement Learning with Self-Play under Adaptivity Constraints.
ICML
Dan Qiao, Yu-Xiang Wang
2024 J jnl
Near-Optimal Reinforcement Learning with Self-Play under Adaptivity Constraints.
CoRR
Dan Qiao, Yu-Xiang Wang
2024 A* conf
Stable Minima Cannot Overfit in Univariate ReLU Networks: Generalization by Large Step Sizes.
NeurIPS
Dan Qiao, Kaiqi Zhang, Esha Singh, Daniel Soudry, Yu-Xiang Wang
2024 J jnl
Stable Minima Cannot Overfit in Univariate ReLU Networks: Generalization by Large Step Sizes.
CoRR
Dan Qiao, Kaiqi Zhang, Esha Singh, Daniel Soudry, Yu-Xiang Wang
2023 A conf
Doubly Fair Dynamic Pricing.
AISTATS
Jianyu Xu, Dan Qiao, Yu-Xiang Wang
2023 J jnl
Logarithmic Switching Cost in Reinforcement Learning beyond Linear MDPs.
CoRR
Dan Qiao, Ming Yin, Yu-Xiang Wang
2023 A* conf
Near-Optimal Deployment Efficiency in Reward-Free Reinforcement Learning with Linear Function Approximation.
ICLR
Dan Qiao, Yu-Xiang Wang
2023 A conf
Near-Optimal Differentially Private Reinforcement Learning.
AISTATS
Dan Qiao, Yu-Xiang Wang
2023 A* conf
Offline Reinforcement Learning with Differential Privacy.
NeurIPS
Dan Qiao, Yu-Xiang Wang
2022 A* conf
Differentially Private Linear Sketches: Efficient Implementations and Applications.
NeurIPS
Fuheng Zhao, Dan Qiao, Rachel Redberg, Divyakant Agrawal, Amr El Abbadi, Yu-Xiang Wang
2022 J jnl
Differentially Private Linear Sketches: Efficient Implementations and Applications.
CoRR
Fuheng Zhao, Dan Qiao, Rachel Redberg, Divyakant Agrawal, Amr El Abbadi, Yu-Xiang Wang
2022 J jnl
Doubly Fair Dynamic Pricing.
CoRR
Jianyu Xu, Dan Qiao, Yu-Xiang Wang
2022 J jnl
Near-Optimal Deployment Efficiency in Reward-Free Reinforcement Learning with Linear Function Approximation.
CoRR
Dan Qiao, Yu-Xiang Wang
2022 J jnl
Near-Optimal Differentially Private Reinforcement Learning.
CoRR
Dan Qiao, Yu-Xiang Wang
2022 J jnl
Offline Reinforcement Learning with Differential Privacy.
CoRR
Dan Qiao, Yu-Xiang Wang
2022 A* conf
Sample-Efficient Reinforcement Learning with loglog(T) Switching Cost.
ICML
Dan Qiao, Ming Yin, Ming Min, Yu-Xiang Wang
2022 J jnl
Sample-Efficient Reinforcement Learning with loglog(T) Switching Cost.
CoRR
Dan Qiao, Ming Yin, Ming Min, Yu-Xiang Wang