multi-armed bandit

Maillard Sampling: Boltzmann Exploration Done Optimally AISTATS 2022 Matching in Multi-arm Bandit with Collision NeurIPS 2022 Maximizing and Satisficing in Multi-armed Bandits with Graph Information NeurIPS 2022 Max-Min Grouped Bandits AAAI 2022 Metalearning Linear Bandits by Prior Update AISTATS 2022 Minimax Optimal Algorithms for Fixed-Budget Best Arm Identification NeurIPS 2022 Modeling Attrition in Recommender Systems with Departing Bandits AAAI 2022 Multi-agent Dynamic Algorithm Configuration NeurIPS 2022 Multi-Agent Multi-Armed Bandits with Limited Communication JMLR 2022 Multi-armed Bandit Algorithm against Strategic Replication AISTATS 2022 Multi-Armed Bandit Problem with Temporally-Partitioned Rewards: When Partial Feedback Counts IJCAI 2022 Multi-Player Multi-Armed Bandits with Finite Shareable Resources Arms: Learning Algorithms & Applications IJCAI 2022 Multiple-Play Stochastic Bandits with Shareable Finite-Capacity Arms ICML 2022 MuMu: Cooperative Multitask Learning-Based Guided Multimodal Fusion AAAI 2022 Nested Bandits ICML 2022 Non-monotonic Resource Utilization in the Bandits with Knapsacks Problem NeurIPS 2022 Non-Stationary Bandits under Recharging Payoffs: Improved Planning with Sublinear Regret NeurIPS 2022 Non-stationary Bandits with Knapsacks NeurIPS 2022 Nonstochastic Bandits and Experts with Arm-Dependent Delays AISTATS 2022 Nonstochastic Bandits with Composite Anonymous Feedback JMLR 2022 No Weighted-Regret Learning in Adversarial Bandits with Delays JMLR 2022 On Elimination Strategies for Bandit Fixed-Confidence Identification NeurIPS 2022 On Kernelized Multi-Armed Bandits with Constraints NeurIPS 2022 Online Certification of Preference-Based Fairness for Personalized Recommender Systems AAAI 2022 Online Learning and Pricing for Network Revenue Management with Reusable Resources NeurIPS 2022