Han Shao
13 papers · 2018–2026 · 3 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (30)
🏆
Keyword Champion
(2)
🗃️
Keyword Collector
(64)
💎
Century Club · Bronze
🔥
Unstoppable · Bronze
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The Questioner
Venues
Top co-authors
Research topics
Machine Learning
(13)
Optimization & Theory
(9)
Artificial Intelligence
(6)
Core AI
(6)
Mathematics & Optimization
(4)
Application Areas
(4)
Optimization
(4)
Core Methods
(3)
Learning Types
(3)
Reinforcement Learning
(1)
Bayesian & Probabilistic
(1)
Learning Paradigms · Artificial Intelligence
(1)
Learning Paradigms · Machine Learning
(1)
Methods
(1)
Keywords
regret bound
(5)
sample complexity
(4)
game theory
(3)
strategic classification
(3)
pac learning
(2)
adversarial learning
(2)
transformation invariance
(2)
multi-objective optimization
(2)
online learning
(2)
multi-label learning
(1)
empirical risk minimization
(1)
out-of-distribution generalization
(1)
markov decision process
(1)
vc dimension
(1)
adversarial robustness
(1)
distribution shift
(1)
agnostic learning
(1)
data augmentation
(1)
discount factor
(1)
nash equilibrium
(1)
Papers
On Randomized Algorithms in Online Strategic Classification
COLT 2026
Should Decision-Makers Reveal Classifiers in Online Strategic Classification?
ICML 2025
Learnability Gaps of Strategic Classification
COLT 2024
Transformation-Invariant Learning and Theoretical Guarantees for OOD Generalization
NeurIPS 2024
Eliciting User Preferences for Personalized Multi-Objective Decision Making through Comparative Feedback
NeurIPS 2023
Strategic Classification under Unknown Personalized Manipulation
NeurIPS 2023
A Theory of PAC Learnability under Transformation Invariances
NeurIPS 2022
Accurately Solving Rod Dynamics with Graph Learning
NeurIPS 2021
One for One, or All for All: Equilibria and Optimality of Collaboration in Federated Learning
ICML 2021
Robust learning under clean-label attack
COLT 2021
Online Learning with Primary and Secondary Losses
NeurIPS 2020
Structure Adaptive Algorithms for Stochastic Bandits
ICML 2020
Almost Optimal Algorithms for Linear Stochastic Bandits with Heavy-Tailed Payoffs
NeurIPS 2018