| Corruption-robust offline reinforcement learning X Zhang, Y Chen, X Zhu, W Sun International Conference on Artificial Intelligence and Statistics, 5757-5773, 2022 | 51 | 2022 |
| Robust policy gradient against strong data corruption X Zhang, Y Chen, X Zhu, W Sun International Conference on Machine Learning, 12391-12401, 2021 | 35 | 2021 |
| Optimal attack against autoregressive models by manipulating the environment Y Chen, X Zhu Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 3545-3552, 2020 | 19* | 2020 |
| Byzantine-robust online and offline distributed reinforcement learning Y Chen, X Zhang, K Zhang, M Wang, X Zhu International Conference on Artificial Intelligence and Statistics, 3230-3269, 2023 | 15 | 2023 |
| Error lower bounds of constant step-size stochastic gradient descent Z Ding, Y Chen, Q Li, X Zhu arXiv preprint arXiv:1910.08212, 2019 | 5 | 2019 |
| Mechanism Design for Collaborative Normal Mean Estimation Y Chen, J Zhu, K Kandasamy Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
| Exact Policy Recovery in Offline RL with Both Heavy-Tailed Rewards and Data Corruption Y Chen, X Zhang, Q Xie, X Zhu | | 2024 |
| Minimally Modifying a Markov Game to Achieve Any Nash Equilibrium and Value Y Wu, J McMahan, Y Chen, Y Chen, X Zhu, Q Xie arXiv preprint arXiv:2311.00582, 2023 | | 2023 |
| The Game of Hidden Rules: A New Kind of Benchmark Challenge for Machine Learning E Pulick, S Bharti, Y Chen, V Menkov, Y Mintz, P Kantor, VM Bier arXiv preprint arXiv:2207.10218, 2022 | | 2022 |
Xiaojin ZhuProfessor in Computer Science at University of Wisconsin-MadisonVerified email at cs.wisc.edu
