Han Shao

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 36

Top Topics

Multi Armed Bandit

Class Imbalance

Top Venues

CHI Extended Abstracts

Publications

Lee Cohen, Yishay Mansour, Shay Moran, Han Shao
Learnability Gaps of Strategic Classification. COLT (2024)
Lee Cohen, Han Shao
Incentivized Collaboration in Active Learning. FORC (2024)
Lee Cohen, Yishay Mansour, Shay Moran, Han Shao
Learnability Gaps of Strategic Classification. CoRR (2024)
Natalie Collina, Aaron Roth, Han Shao
Efficient Prior-Free Mechanisms for No-Regret Agents. CoRR (2023)
Minbiao Han, Kumar Kshitij Patel, Han Shao, Lingxiao Wang
On the Effect of Defections in Federated Learning and How to Prevent Them. CoRR (2023)
Lee Cohen, Han Shao
Incentivized Collaboration in Active Learning. CoRR (2023)
Han Shao, Avrim Blum, Omar Montasser
Strategic Classification under Unknown Personalized Manipulation. CoRR (2023)
Han Shao, Lee Cohen, Avrim Blum, Yishay Mansour, Aadirupa Saha, Matthew R. Walter
Eliciting User Preferences for Personalized Multi-Objective Decision Making through Comparative Feedback. CoRR (2023)
Han Shao, Avrim Blum, Omar Montasser
Strategic Classification under Unknown Personalized Manipulation. NeurIPS (2023)
Han Shao, Libo Huang, Dominik L. Michels
A Current Loop Model for the Fast Simulation of Ferrofluids. IEEE Trans. Vis. Comput. Graph. 29 (12) (2023)
Han Shao, Lee Cohen, Avrim Blum, Yishay Mansour, Aadirupa Saha, Matthew R. Walter
Eliciting User Preferences for Personalized Multi-Objective Decision Making through Comparative Feedback. NeurIPS (2023)
Tarun Narayan, Mary-Kate Reidy, Sarah Heelan, Alan O'Riordan, Han Shao
Real-Time Electrochemical Sensor for Phosphate Sensing in Water. SENSORS (2023)
Han Shao, Xiang Li, Guodi Wang
Are You Tired? I am: Trying to Understand Privacy Fatigue of Social Media Users. CHI Extended Abstracts (2022)
Han Shao, Omar Montasser, Avrim Blum
A Theory of PAC Learnability under Transformation Invariances. NeurIPS (2022)
Han Shao, Libo Huang, Dominik L. Michels
A fast unsmoothed aggregation algebraic multigrid framework for the large-scale simulation of incompressible flow. ACM Trans. Graph. 41 (4) (2022)
Han Shao, Zhencai Chen
Application of Artificial Intelligence in Drug Detoxification. ISAIMS (2022)
Yange Sun, Han Shao, Bencai Zhang
Ensemble based on accuracy and diversity weighting for evolving data streams. Int. Arab J. Inf. Technol. 19 (1) (2022)
Han Shao, Omar Montasser, Avrim Blum
A Theory of PAC Learnability under Transformation Invariances. CoRR (2022)
Avrim Blum, Nika Haghtalab, Richard Lanas Phillips, Han Shao
One for One, or All for All: Equilibria and Optimality of Collaboration in Federated Learning. CoRR (2021)
Han Shao
Do I Prefer It?: The Role of Cultural Heuristics in Chinese Citizens' Attitudes to COVID-19 Rumors. CHI Extended Abstracts (2021)
Robert Daly, Tarun Narayan, Han Shao, Alan O'Riordan, Pierre Lovera
Platinum-Based Interdigitated Micro-Electrode Arrays for Reagent-Free Detection of Copper. Sensors 21 (10) (2021)
Yange Sun, Meng Li, Lei Li, Han Shao, Yi Sun
Cost-Sensitive Classification for Evolving Data Streams with Concept Drift and Class Imbalance. Comput. Intell. Neurosci. 2021 (2021)
Avrim Blum, Nika Haghtalab, Richard Lanas Phillips, Han Shao
One for One, or All for All: Equilibria and Optimality of Collaboration in Federated Learning. ICML (2021)
Han Shao, Tassilo Kugelstadt, Torsten Hädrich, Wojtek Palubicki, Jan Bender, Sören Pirk, Dominik L. Michels
Accurately Solving Rod Dynamics with Graph Learning. NeurIPS (2021)
Avrim Blum, Steve Hanneke, Jian Qian, Han Shao
Robust learning under clean-label attack. COLT (2021)
Avrim Blum, Steve Hanneke, Jian Qian, Han Shao
Robust learning under clean-label attack. CoRR (2021)
Avrim Blum, Han Shao
Online Learning with Primary and Secondary Losses. NeurIPS (2020)
Avrim Blum, Han Shao
Online Learning with Primary and Secondary Losses. CoRR (2020)
Han Shao, Tassilo Kugelstadt, Wojciech Palubicki, Jan Bender, Sören Pirk, Dominik L. Michels
Accurately Solving Physical Systems with Graph Learning. CoRR (2020)
Rémy Degenne, Han Shao, Wouter M. Koolen
Structure Adaptive Algorithms for Stochastic Bandits. CoRR (2020)
Xuedong Shang, Han Shao, Jian Qian
-Norm of Relative Losses. CoRR (2020)
Rémy Degenne, Han Shao, Wouter M. Koolen
Structure Adaptive Algorithms for Stochastic Bandits. ICML (2020)
Yange Sun, Han Shao, Shasha Wang
Efficient Ensemble Classification for Multi-Label Data Streams with Concept Drift. Inf. 10 (5) (2019)
Han Shao, Xiaotian Yu, Irwin King, Michael R. Lyu
Almost Optimal Algorithms for Linear Stochastic Bandits with Heavy-Tailed Payoffs. CoRR (2018)
Han Shao, Xiaotian Yu, Irwin King, Michael R. Lyu
Almost Optimal Algorithms for Linear Stochastic Bandits with Heavy-Tailed Payoffs. NeurIPS (2018)
Xiaotian Yu, Han Shao, Michael R. Lyu, Irwin King
Pure Exploration of Multi-Armed Bandits with Heavy-Tailed Payoffs. UAI (2018)