| Cautionary tales on air-quality improvement in Beijing S Zhang, B Guo, A Dong, J He, Z Xu, SX Chen Proceedings of the Royal Society A: Mathematical, Physical and Engineering …, 2017 | 262 | 2017 |
| Health effects of air pollution in China W Liu, Z Xu, T Yang International journal of environmental research and public health 15 (7), 1471, 2018 | 114 | 2018 |
| TorsionNet: A Reinforcement Learning Approach to Sequential Conformer Search T Gogineni, Z Xu, E Punzalan, R Jiang, J Kammeraad, A Tewari, ... Advances in Neural Information Processing Systems 33, 2020 | 42 | 2020 |
| Predicting reaction conditions from limited data through active transfer learning E Shim, JA Kammeraad, Z Xu, A Tewari, T Cernak, PM Zimmerman Chemical science 13 (22), 6655-6668, 2022 | 36 | 2022 |
| Reinforcement Learning in Factored MDPs: Oracle-Efficient Algorithms and Tighter Regret Bounds for the Non-Episodic Setting Z Xu, A Tewari arXiv preprint arXiv:2002.02302, 2020 | 32* | 2020 |
| Representation learning beyond linear prediction functions Z Xu, A Tewari Advances in Neural Information Processing Systems 34, 4792-4804, 2021 | 22 | 2021 |
| Meteorological Change and Impacts on Air Pollution‐‐Results from North China Z Xu, SX Chen, X Wu Journal of Geophysical Research: Atmospheres, e2020JD032423, 2020 | 18 | 2020 |
| Supervised Q-Learning for Continuous Control H Sun, Z Xu, T Wang, M Fang, B Zhou Deep Reinforcement Learning Workshop NeurIPS 2022, 2022 | 17* | 2022 |
| Bandit algorithms for precision medicine Y Lu, Z Xu, A Tewari arXiv preprint arXiv:2108.04782, 2021 | 17 | 2021 |
| Safe exploration by solving early terminated mdp H Sun, Z Xu, M Fang, Z Peng, J Guo, B Dai, B Zhou arXiv preprint arXiv:2107.04200, 2021 | 17* | 2021 |
| On The Statistical Benefits Of Curriculum Learning Z Xu, A Tewari International Conference on Machine Learning, 24663-24682, 2022 | 10 | 2022 |
| Cryorl: Reinforcement learning enables efficient cryo-em data collection Q Fan, Y Li, Y Yao, J Cohn, S Liu, Z Xu, S Vos, M Cianfrocco Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 7 | 2024 |
| Decision making problems with funnel structure: a multi-task learning approach with application to email marketing campaigns Z Xu, A Meisami, A Tewari International Conference on Artificial Intelligence and Statistics, 127-135, 2021 | 7 | 2021 |
| Adaptive Sampling for Discovery Z Xu, E Shim, A Tewari, P Zimmerman Advances in Neural Information Processing Systems, 2022 | 3 | 2022 |
| Worst-Case Regret Bound for Perturbation Based Exploration in Reinforcement Learning Z Xu, A Tewari NeurIPS 2019 Optimization Foundation for RL Workshop, 2019 | 3 | 2019 |
| Online learning in bandits with predicted context Y Guo, Z Xu, S Murphy arXiv preprint arXiv:2307.13916, 2023 | 2 | 2023 |
| Optimized path planning surpasses human efficiency in cryo-EM imaging Y Li, Q Fan, Z Xu, ER Lee, J Cohn, V Demers, JY Lee, L Yip, ... biorxiv, 2022.06. 17.496614, 2022 | 2 | 2022 |
| The Fallacy of Minimizing Local Regret in the Sequential Task Setting Z Xu, KW Zhang, SA Murphy arXiv preprint arXiv:2403.10946, 2024 | 1 | 2024 |
| On the Benefits of Multitask Learning: A Perspective Based on Task Diversity Z Xu | 1 | 2023 |
| A Natural Extension To Online Algorithms For Hybrid RL With Limited Coverage K Tan, Z Xu arXiv preprint arXiv:2403.09701, 2024 | | 2024 |
Ambuj Tewari | अम्बुज तिवारीProfessor, Statistics and EECS, University of MichiganVerified email at umich.edu
