multi-armed bandit

Approximately Stationary Bandits with Knapsacks COLT 2023 A Reduction-based Framework for Sequential Decision Making with Delayed Feedback NeurIPS 2023 Asymptotically Optimal Quantile Pure Exploration for Infinite-Armed Bandits NeurIPS 2023 Asymptotic Instance-Optimal Algorithms for Interactive Decision Making ICLR 2023 Balancing Risk and Reward: A Batched-Bandit Strategy for Automated Phased Release NeurIPS 2023 Bandit Learnability can be Undecidable COLT 2023 Bandit Multi-linear DR-Submodular Maximization and Its Applications on Adversarial Submodular Bandits ICML 2023 BanditPAM++: Faster k-medoids Clustering NeurIPS 2023 Bandit problems with fidelity rewards JMLR 2023 Bandit Social Learning under Myopic Behavior NeurIPS 2023 Bandits with costly reward observations UAI 2023 Bandits with Knapsacks: Advice on Time-Varying Demands ICML 2023 Banker Online Mirror Descent: A Universal Approach for Delayed Online Bandit Learning ICML 2023 Bayesian Design Principles for Frequentist Sequential Learning ICML 2023 Bayesian Optimization with Conformal Prediction Sets AISTATS 2023 Best Arm Identification in Multi-Agent Multi-Armed Bandits ICML 2023 Best arm identification in rare events UAI 2023 Best Arm Identification with Fixed Budget: A Large Deviation Perspective NeurIPS 2023 Best-of-Both-Worlds Algorithms for Partial Monitoring ALT 2023 Best-of-three-worlds Analysis for Linear Bandits with Follow-the-regularized-leader Algorithm COLT 2023 Blocked Collaborative Bandits: Online Collaborative Filtering with Per-Item Budget Constraints NeurIPS 2023 Bypassing the Simulator: Near-Optimal Adversarial Linear Contextual Bandits NeurIPS 2023 Collaborative Multi-Agent Heterogeneous Multi-Armed Bandits ICML 2023 Collaborative Pure Exploration in Kernel Bandit ICLR 2023 Communication-Constrained Bandits under Additive Gaussian Noise ICML 2023