Han Shao
12 papers · 2018–2025 · 3 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+7 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (27) π Conference Polyglot (3) π Academic Marathon (7) π Interdisciplinary Bridge π§ Keyword Pioneer
π
Interdisciplinary Bridge
π
Academic Marathon
(7)
π
Trend Setter
π
Century Club
(12)
π₯
Unstoppable
(6)
β
The Questioner
ποΈ
Keyword Collector
(51)
Conferences
NIPS (7)
ICML (3)
COLT (2)
Top co-authors
Keywords
sample complexity
(4)
regret bound
(3)
game theory
(3)
online learning
(2)
multi-objective optimization
(2)
strategic classification
(2)
adversarial learning
(2)
pac learning
(2)
transformation invariance
(2)
distribution shift
(1)
nash equilibrium
(1)
vc dimension
(1)
data augmentation
(1)
markov decision process
(1)
online algorithm
(1)
empirical risk minimization
(1)
robust learning
(1)
expert advice
(1)
out-of-distribution generalization
(1)
preference learning
(1)
Papers
Should Decision-Makers Reveal Classifiers in Online Strategic Classification?
ICML 2025
Transformation-Invariant Learning and Theoretical Guarantees for OOD Generalization
NIPS 2024
Learnability Gaps of Strategic Classification
COLT 2024
Eliciting User Preferences for Personalized Multi-Objective Decision Making through Comparative Feedback
NIPS 2023
Strategic Classification under Unknown Personalized Manipulation
NIPS 2023
A Theory of PAC Learnability under Transformation Invariances
NIPS 2022
Accurately Solving Rod Dynamics with Graph Learning
NIPS 2021
Robust learning under clean-label attack
COLT 2021
One for One, or All for All: Equilibria and Optimality of Collaboration in Federated Learning
ICML 2021
Structure Adaptive Algorithms for Stochastic Bandits
ICML 2020
Online Learning with Primary and Secondary Losses
NIPS 2020
Almost Optimal Algorithms for Linear Stochastic Bandits with Heavy-Tailed Payoffs
NIPS 2018