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Papers
Robust Performance Incentivizing Algorithms for Multi-Armed Bandits with Strategic Agents
AAAI 2025
CRIMED: Lower and Upper Bounds on Regret for Bandits with Unbounded Stochastic Corruption
ALT 2024
Monte Carlo Tree Search in the Presence of Transition Uncertainty
AAAI 2024
Adversarially Robust Distributed Count Tracking via Partial Differential Privacy
NeurIPS 2023
Improved Robust Algorithms for Learning with Discriminative Feature Feedback
AISTATS 2023
Robust Stochastic Linear Contextual Bandits Under Adversarial Attacks
AISTATS 2022
Adapting to misspecification in contextual bandits with offline regression oracles
ICML 2021
Robustifying Algorithms of Learning Latent Trees with Vector Variables
NeurIPS 2021
Stochastic Linear Bandits Robust to Adversarial Attacks
AISTATS 2021
An Optimistic Perspective on Offline Reinforcement Learning
ICML 2020
Robust Hierarchical Clustering
JMLR 2014