α-β denotes alphabetical ordering. * denotes equal contribution.
Preprints
(α-β) Cynthia Dwork, Lunjia Hu, and Han Shao
arxiv, 2025.
A Machine Learning Theory Perspective on Strategic Litigation
Melissa Dutz, Han Shao, Avrim Blum, and Aloni Cohen
arxiv, 2025.
Probably Approximately Precision and Recall Learning
(α-β) Lee Cohen, Yishay Mansour, Shay Moran, and Han Shao
arxiv, 2024.
On the Effect of Defections in Federated Learning and How to Prevent Them
(α-β) Minbiao Han, Kumar Kshitij Patel, Han Shao, and Lingxiao Wang
arxiv, 2023.
Conference Papers
Should Decision-Makers Reveal Classifiers in Online Strategic Classification?
(α-β) Han Shao, Shuo Xie, and Kunhe Yang
ICML, 2025.
Transformation-Invariant Learning and Theoretical Guarantees for OOD Generalization
Omar Montasser, Han Shao, and Emmanuel Abbe
NeurIPS, 2024.
Efficient Prior-Free Mechanisms for No-Regret Agents
(α-β) Natalie Collina, Aaron Roth, and Han Shao
EC, 2024.
Learnability Gaps of Strategic Classification
(α-β) Lee Cohen, Yishay Mansour, Shay Moran, and Han Shao
COLT, 2024.
Incentivized Collaboration in Active Learning
(α-β) Lee Cohen and Han Shao
FORC, 2024.
Strategic Classification under Unknown Personalized Manipulation
Han Shao, Avrim Blum and Omar Montasser
NeurIPS, 2023.
Han Shao, Lee Cohen, Avrim Blum, Yishay Mansour, Aadirupa Saha and Matthew R. Walter
NeurIPS, 2023.
A Theory of PAC Learnability under Transformation Invariances
Han Shao, Omar Montasser and Avrim Blum
NeurIPS, 2022. (Oral)
Robust Learning under Clean-Label Attack
(α-β) Avrim Blum, Steve Hanneke, Jian Qian and Han Shao
COLT, 2021.
One for One, or All for All: Equilibria and Optimality of Collaboration in Federated Learning
(α-β) Avrim Blum, Nika Haghtalab, Richard Lanas Phillips and Han Shao
ICML, 2021.
Online learning with preliminary and secondary losses
(α-β) Avrim Blum and Han Shao
NeurIPS, 2020.
Structure adaptive algorithms for stochastic bandits
Rémy Degenne, Han Shao and Wouter M. Koolen
ICML, 2020.
Almost optimal algorithms for linear stochastic bandits with heavy-tailed payoffs
Han Shao*, Xiaotian Yu*, Irwin King, and Michael R. Lyu
NeurIPS, 2018. (Spotlight)
Pure exploration of multi-armed bandits with heavy-tailed payoffs
Xiaotian Yu, Han Shao, Michael R. Lyu, and Irwin King
UAI, 2018.