multi-armed bandit

Effective Dimension in Bandit Problems under Censorship NeurIPS 2022 Efficient Change-Point Detection for Tackling Piecewise-Stationary Bandits JMLR 2022 ESCADA: Efficient Safety and Context Aware Dose Allocation for Precision Medicine NeurIPS 2022 Exact simulation of diffusion first exit times: algorithm acceleration JMLR 2022 Expected Regret and Pseudo-Regret are Equivalent When the Optimal Arm is Unique JMLR 2022 Federated online clustering of bandits UAI 2022 Finding Optimal Arms in Non-stochastic Combinatorial Bandits with Semi-bandit Feedback and Finite Budget NeurIPS 2022 Finite-Time Regret of Thompson Sampling Algorithms for Exponential Family Multi-Armed Bandits NeurIPS 2022 Fixed-Budget Best-Arm Identification in Structured Bandits IJCAI 2022 Gaussian Process Bandits with Aggregated Feedback AAAI 2022 Graph Neural Network Bandits NeurIPS 2022 Incentivizing Combinatorial Bandit Exploration NeurIPS 2022 Instance-Sensitive Algorithms for Pure Exploration in Multinomial Logit Bandit AAAI 2022 Jointly Efficient and Optimal Algorithms for Logistic Bandits AISTATS 2022 k-experts - Online Policies and Fundamental Limits AISTATS 2022 KL-UCB-Switch: Optimal Regret Bounds for Stochastic Bandits from Both a Distribution-Dependent and a Distribution-Free Viewpoints JMLR 2022 Learning Competitive Equilibria in Exchange Economies with Bandit Feedback AISTATS 2022 Learning from an Exploring Demonstrator: Optimal Reward Estimation for Bandits AISTATS 2022 Learning on the Edge: Online Learning with Stochastic Feedback Graphs NeurIPS 2022 Learning the Optimal Recommendation from Explorative Users AAAI 2022 Leveraging the Hints: Adaptive Bidding in Repeated First-Price Auctions NeurIPS 2022 Linear Combinatorial Semi-Bandit with Causally Related Rewards IJCAI 2022 Lipschitz Bandits with Batched Feedback NeurIPS 2022 MABSplit: Faster Forest Training Using Multi-Armed Bandits NeurIPS 2022 Machine Learning for Online Algorithm Selection under Censored Feedback AAAI 2022