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Dan Qiao
Dan Qiao
PhD student, UCSB
Bestätigte E-Mail-Adresse bei ucsb.edu
Titel
Zitiert von
Zitiert von
Jahr
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
182022
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
182022
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
82023
Offline Reinforcement Learning with Differential Privacy
D Qiao, YX Wang
(NeurIPS) Advances in Neural Information Processing Systems, 2023, 2023
52023
Doubly Fair Dynamic Pricing
J Xu, D Qiao, YX Wang
(AISTATS) International Conference on Artificial Intelligence and Statistics, 2023
42023
Logarithmic Switching Cost in Reinforcement Learning beyond Linear MDPs
D Qiao, M Yin, YX Wang
arXiv preprint arXiv:2302.12456, 2023
32023
Designing Artificial Boundary Conditions for Atomic Chains by Machine Learning
Q Zhang, D Qiao, S Tang
Mechanics in Engineering 42 (1), 13, 2020
32020
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
22023
Near-Optimal Differentially Private Reinforcement Learning
D Qiao, YX Wang
(AISTATS) International Conference on Artificial Intelligence and Statistics, 2023
22023
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
2022
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