| Optimal rates of (locally) differentially private heavy-tailed multi-armed bandits Y Tao*, Y Wu*, P Zhao, D Wang International Conference on Artificial Intelligence and Statistics, 1546-1574, 2022 | 23 | 2022 |
| PPML-Omics: a Privacy-Preserving federated Machine Learning system protects patients’ privacy from omic data J Zhou*, S Chen*, Y Wu*, H Li, B Zhang, L Zhou, Y Hu, Z Xiang, Z Li, ... Science Advances, 2024 | 12 | 2024 |
| Private Stochastic Convex Optimization and Sparse Learning with Heavy-tailed Data Revisited. Y Tao, Y Wu, X Cheng, Di Wang 0015 IJCAI, 3947-3953, 2022 | 5 | 2022 |
| Better-than-KL PAC-Bayes Bounds I Kuzborskij, KS Jun, Y Wu, K Jang, F Orabona arXiv preprint arXiv:2402.09201, 2024 | 2 | 2024 |
| Quantum Computing Provides Exponential Regret Improvement in Episodic Reinforcement Learning B Ganguly, Y Wu, D Wang, V Aggarwal arxiv, 2023 | 2 | 2023 |
| Quantum Heavy-tailed Bandits. Y Wu*, C Guan*, V Aggarwal, D Wang arxiv, 2023 | 1 | 2023 |
| On Private and Robust Bandits Y Wu*, X Zhou*, Y Tao, D Wang NeurIPS 2023, 2023 | 1 | 2023 |
| Differentially Private Episodic Reinforcement Learning with Heavy-tailed Rewards Y Wu, X Zhou, SR Chowdhury, D Wang ICML 2023, 2023 | | 2023 |
Di WangKing Abdullah University of Science and TechnologyVerifierad e-postadress på kaust.edu.sa
