| 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 | 58 | 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 | 53 | 2018 |
| Structure adaptive algorithms for stochastic bandits R Degenne, H Shao, W Koolen International Conference on Machine Learning, 2443-2452, 2020 | 46 | 2020 |
| Pure Exploration of Multi-Armed Bandits with Heavy-Tailed Payoffs. X Yu, H Shao, MR Lyu, I King UAI, 937-946, 2018 | 39 | 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 | 24 | 2022 |
| Strategic classification under unknown personalized manipulation H Shao, A Blum, O Montasser Advances in Neural Information Processing Systems 36, 26452-26484, 2023 | 18 | 2023 |
| Robust learning under clean-label attack A Blum, S Hanneke, J Qian, H Shao Conference on Learning Theory, 591-634, 2021 | 10 | 2021 |
| 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 | 9 | 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 | 6 | 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 | 6 | 2023 |
| Learnability gaps of strategic classification L Cohen, Y Mansour, S Moran, H Shao The Thirty Seventh Annual Conference on Learning Theory, 1223-1259, 2024 | 5 | 2024 |
| Online learning with primary and secondary losses A Blum, H Shao Advances in Neural Information Processing Systems 33, 20427-20436, 2020 | 2 | 2020 |
| Transformation-Invariant Learning and Theoretical Guarantees for OOD Generalization O Montasser, H Shao, E Abbe arXiv preprint arXiv:2410.23461, 2024 | 1 | 2024 |
| Incentivized Collaboration in Active Learning L Cohen, H Shao arXiv preprint arXiv:2311.00260, 2023 | 1 | 2023 |
| Probably Approximately Precision and Recall Learning L Cohen, Y Mansour, S Moran, H Shao arXiv preprint arXiv:2411.13029, 2024 | | 2024 |
| Trustworthy Machine Learning under Social and Adversarial Data Sources H Shao arXiv preprint arXiv:2408.01596, 2024 | | 2024 |
| LIPIcs, Volume 295, FORC 2024, Complete Volume}} GN Rothblum, S Evren, P Vepakomma, L Cohen, H Shao, N Elkin-Koren, ... 5th Symposium on Foundations of Responsible Computing (FORC 2024) 295, 9, 2024 | | 2024 |