| Sample-Efficient Reinforcement Learning with loglog (T) Switching Cost D Qiao, M Yin, M Min, YX Wang (ICML) International Conference on Machine Learning, 2022, 2022 | 28 | 2022 |
| Differentially Private Linear Sketches: Efficient Implementations and Applications D Qiao*, F Zhao*, R Redberg, D Agrawal, AE Abbadi, YX Wang (NeurIPS) Advances in Neural Information Processing Systems, 2022, 2022 | 22 | 2022 |
| Offline Reinforcement Learning with Differential Privacy D Qiao, YX Wang (NeurIPS) Advances in Neural Information Processing Systems, 2023, 2023 | 14 | 2023 |
| Near-Optimal Deployment Efficiency in Reward-Free Reinforcement Learning with Linear Function Approximation D Qiao, YX Wang (ICLR) International Conference on Learning Representations, 2023, 2023 | 10 | 2023 |
| Doubly Fair Dynamic Pricing J Xu, D Qiao, YX Wang (AISTATS) International Conference on Artificial Intelligence and Statistics, 2023 | 8 | 2023 |
| Chinese Tofu‐Inspired Biomimetic Conductive and Transparent Fibers for Biomedical Applications S Chen, S Jiang, D Qiao, J Wang, Q Zhou, C Wu, X Li, RE Neisiany, L Sun, ... Small Methods 7 (4), 2201604, 2023 | 7 | 2023 |
| Near-Optimal Differentially Private Reinforcement Learning D Qiao, YX Wang (AISTATS) International Conference on Artificial Intelligence and Statistics, 2023 | 7 | 2023 |
| Logarithmic switching cost in reinforcement learning beyond linear mdps D Qiao, M Yin, YX Wang (ISIT) IEEE International Symposium on Information Theory, 2024, 2024 | 6 | 2024 |
| Designing Artificial Boundary Conditions for Atomic Chains by Machine Learning Q Zhang, D Qiao, S Tang Mechanics in Engineering 42 (1), 13, 2020 | 3 | 2020 |
| Offline Policy Evaluation for Reinforcement Learning with Adaptively Collected Data S Madhow, D Qiao, YX Wang 3rd Offline RL Workshop: Offline RL as a''Launchpad'', 2022 | 2 | 2022 |
| Stable Minima Cannot Overfit in Univariate ReLU Networks: Generalization by Large Step Sizes D Qiao, K Zhang, E Singh, D Soudry, YX Wang arXiv preprint, arXiv: 2406.06838, 2024 | | 2024 |
| Differentially Private Reinforcement Learning with Self-Play D Qiao, YX Wang arXiv preprint arXiv:2404.07559, 2024 | | 2024 |
| Near-Optimal Reinforcement Learning with Self-Play under Adaptivity Constraints D Qiao, YX Wang (ICML) International Conference on Machine Learning, 2024, 2024 | | 2024 |
Yu-Xiang WangAssociate Professor @ UC San Diego在 ucsd.edu 的电子邮件经过验证
