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Multi-Armed Bandits

1044 directly classified papers

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Papers

Regret Minimization with Performative Feedback ICML 2022
Langevin Monte Carlo for Contextual Bandits ICML 2022
Masked Language Models Know Which are Popular: A Simple Ranking Strategy for Commonsense Question Answering EMNLP 2022
Versatile Dueling Bandits: Best-of-both World Analyses for Learning from Relative Preferences ICML 2022
Adaptive Gating for Single-Photon 3D Imaging CVPR 2022
Choosing Answers in Epsilon-Best-Answer Identification for Linear Bandits ICML 2022
Inverse Contextual Bandits: Learning How Behavior Evolves over Time ICML 2022
Adaptive Best-of-Both-Worlds Algorithm for Heavy-Tailed Multi-Armed Bandits ICML 2022
Minimax Optimal Algorithms for Fixed-Budget Best Arm Identification NIPS 2022
Instance Dependent Regret Analysis of Kernelized Bandits ICML 2022
Off-Policy Evaluation for Large Action Spaces via Embeddings ICML 2022
Smoothed Adversarial Linear Contextual Bandits with Knapsacks ICML 2022
UniRank: Unimodal Bandit Algorithms for Online Ranking ICML 2022
Breaking the $\sqrtT$ Barrier: Instance-Independent Logarithmic Regret in Stochastic Contextual Linear Bandits ICML 2022
Distributionally-Aware Kernelized Bandit Problems for Risk Aversion ICML 2022
Optimal and Efficient Dynamic Regret Algorithms for Non-Stationary Dueling Bandits ICML 2022
Safe Exploration for Efficient Policy Evaluation and Comparison ICML 2022
Best Heuristic Identification for Constraint Satisfaction IJCAI 2022
Adversarial Attacks on Gaussian Process Bandits ICML 2022
TRAttack: Text Rewriting Attack Against Text Retrieval ACL 2022
Nonstochastic Bandits with Composite Anonymous Feedback JMLR 2022
Multi-Agent Multi-Armed Bandits with Limited Communication JMLR 2022
KL-UCB-Switch: Optimal Regret Bounds for Stochastic Bandits from Both a Distribution-Dependent and a Distribution-Free Viewpoints JMLR 2022
No Weighted-Regret Learning in Adversarial Bandits with Delays JMLR 2022
Efficient Change-Point Detection for Tackling Piecewise-Stationary Bandits JMLR 2022