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Papers
Multiple-play Stochastic Bandits with Prioritized Arm Capacity Sharing
AAAI 2026
p-Mean Regret for Stochastic Bandits
AAAI 2025
Improved Analysis for Bandit Learning in Matching Markets
NeurIPS 2024
Near Optimal Adversarial Attacks on Stochastic Bandits and Defenses with Smoothed Responses
AISTATS 2024
Queueing Matching Bandits with Preference Feedback
NeurIPS 2024
Learning to Incentivize Information Acquisition: Proper Scoring Rules Meet Principal-Agent Model
ICML 2023
Stochastic Graphical Bandits with Heavy-Tailed Rewards
UAI 2023
Modeling Attrition in Recommender Systems with Departing Bandits
AAAI 2022
Multi-armed Bandit Algorithm against Strategic Replication
AISTATS 2022
Optimal Rates of (Locally) Differentially Private Heavy-tailed Multi-Armed Bandits
AISTATS 2022
Random Effect Bandits
AISTATS 2022
Rotting Infinitely Many-Armed Bandits
ICML 2022
Saving Stochastic Bandits from Poisoning Attacks via Limited Data Verification
AAAI 2022
Uplifting Bandits
NeurIPS 2022
Achieving Fairness in the Stochastic Multi-Armed Bandit Problem
JMLR 2021
Bandits with many optimal arms
NeurIPS 2021
Combinatorial Blocking Bandits with Stochastic Delays
ICML 2021
Learning in Non-Cooperative Configurable Markov Decision Processes
NeurIPS 2021
Matrix games with bandit feedback
UAI 2021
A Simple Approach for Non-stationary Linear Bandits
AISTATS 2020
From Finite to Countable-Armed Bandits
NeurIPS 2020
Multinomial Logit Bandit with Low Switching Cost
ICML 2020
Robust Outlier Arm Identification
ICML 2020
Approximations of the Restless Bandit Problem
JMLR 2019
Blocking Bandits
NeurIPS 2019