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Han Shao
Han Shao
Verified email at cmsa.fas.harvard.edu - Homepage
Title
Cited by
Cited by
Year
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
492018
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
482021
Structure adaptive algorithms for stochastic bandits
R Degenne, H Shao, W Koolen
International Conference on Machine Learning, 2443-2452, 2020
392020
Pure Exploration of Multi-Armed Bandits with Heavy-Tailed Payoffs.
X Yu, H Shao, MR Lyu, I King
UAI, 937-946, 2018
342018
A theory of PAC learnability under transformation invariances
H Shao, O Montasser, A Blum
Advances in Neural Information Processing Systems 35, 13989-14001, 2022
172022
Robust learning under clean-label attack
A Blum, S Hanneke, J Qian, H Shao
Conference on Learning Theory, 591-634, 2021
92021
Strategic classification under unknown personalized manipulation
H Shao, A Blum, O Montasser
Advances in Neural Information Processing Systems 36, 2024
62024
Efficient prior-free mechanisms for no-regret agents
N Collina, A Roth, H Shao
arXiv preprint arXiv:2311.07754, 2023
52023
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, 2024
42024
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
42023
Learnability Gaps of Strategic Classification
L Cohen, Y Mansour, S Moran, H Shao
arXiv preprint arXiv:2402.19303, 2024
22024
Stochastic Bandits with Vector Losses: Minimizing -Norm of Relative Losses
X Shang, H Shao, J Qian
arXiv preprint arXiv:2010.08061, 2020
22020
Online learning with primary and secondary losses
A Blum, H Shao
Advances in Neural Information Processing Systems 33, 20427-20436, 2020
22020
Incentivized Collaboration in Active Learning
L Cohen, H Shao
arXiv preprint arXiv:2311.00260, 2023
12023
Trustworthy Machine Learning under Social and Adversarial Data Sources
H Shao
arXiv preprint arXiv:2408.01596, 2024
2024
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