| One for one, or all for all: Equilibria and optimality of collaboration in federated learning A Blum, N Haghtalab, RL Phillips, H Shao International Conference on Machine Learning, 1005-1014, 2021 | 79 | 2021 |
| Almost optimal algorithms for linear stochastic bandits with heavy-tailed payoffs H Shao, X Yu, I King, MR Lyu Advances in Neural Information Processing Systems 31, 2018 | 67 | 2018 |
| Structure adaptive algorithms for stochastic bandits R Degenne, H Shao, W Koolen International Conference on Machine Learning, 2443-2452, 2020 | 56 | 2020 |
| Pure Exploration of Multi-Armed Bandits with Heavy-Tailed Payoffs. X Yu, H Shao, MR Lyu, I King UAI, 937-946, 2018 | 47 | 2018 |
| A theory of pac learnability under transformation invariances H Shao, O Montasser, A Blum Advances in Neural Information Processing Systems 35, 13989-14001, 2022 | 38 | 2022 |
| Efficient prior-free mechanisms for no-regret agents N Collina, A Roth, H Shao Proceedings of the 25th ACM Conference on Economics and Computation, 511-541, 2024 | 26 | 2024 |
| Strategic classification under unknown personalized manipulation H Shao, A Blum, O Montasser Advances in Neural Information Processing Systems 36, 26452-26484, 2023 | 24 | 2023 |
| Robust learning under clean-label attack A Blum, S Hanneke, J Qian, H Shao Conference on Learning Theory, 591-634, 2021 | 15 | 2021 |
| Learnability gaps of strategic classification L Cohen, Y Mansour, S Moran, H Shao The Thirty Seventh Annual Conference on Learning Theory, 1223-1259, 2024 | 11 | 2024 |
| Eliciting user preferences for personalized multi-objective decision making through comparative feedback H Shao, L Cohen, A Blum, Y Mansour, A Saha, M Walter Advances in Neural Information Processing Systems 36, 12192-12221, 2023 | 10 | 2023 |
| On the effect of defections in federated learning and how to prevent them M Han, KK Patel, H Shao, L Wang arXiv preprint arXiv:2311.16459, 2023 | 8 | 2023 |
| Transformation-invariant learning and theoretical guarantees for OOD generalization O Montasser, H Shao, E Abbe Advances in Neural Information Processing Systems 37, 108649-108673, 2024 | 5 | 2024 |
| Probably Approximately Precision and Recall Learning L Cohen, Y Mansour, S Moran, H Shao arXiv preprint arXiv:2411.13029, 2024 | 5 | 2024 |
| Incentives in federated learning with heterogeneous agents AD Procaccia, H Shao, I Shapira arXiv preprint arXiv:2509.21612, 2025 | 2 | 2025 |
| Online learning with primary and secondary losses A Blum, H Shao Advances in Neural Information Processing Systems 33, 20427-20436, 2020 | 2 | 2020 |
| How Many Domains Suffice for Domain Generalization? A Tight Characterization via the Domain Shattering Dimension C Dwork, L Hu, H Shao arXiv preprint arXiv:2506.16704, 2025 | 1 | 2025 |
| Should Decision-Makers Reveal Classifiers in Online Strategic Classification? H Shao, S Xie, K Yang arXiv preprint arXiv:2506.01936, 2025 | 1 | 2025 |
| Incentivized Collaboration in Active Learning L Cohen, H Shao arXiv preprint arXiv:2311.00260, 2023 | 1 | 2023 |
| A Machine Learning Theory Perspective on Strategic Litigation M Dutz, H Shao, A Blum, A Cohen arXiv preprint arXiv:2506.03411, 2025 | | 2025 |
| Trustworthy Machine Learning under Social and Adversarial Data Sources H Shao arXiv preprint arXiv:2408.01596, 2024 | | 2024 |
