Multi-Armed Bandits

Federated Linear Contextual Bandits with Heterogeneous Clients AISTATS 2024 Finite-time Analysis of Globally Nonstationary Multi-Armed Bandits JMLR 2024 Fixed-Budget Differentially Private Best Arm Identification ICLR 2024 Follow-the-Perturbed-Leader with Fréchet-type Tail Distributions: Optimality in Adversarial Bandits and Best-of-Both-Worlds COLT 2024 Gaussian Process Bandits for Top-k Recommendations NeurIPS 2024 Global Rewards in Restless Multi-Armed Bandits NeurIPS 2024 Graph Feedback Bandits with Similar Arms UAI 2024 Group Fairness in Predict-Then-Optimize Settings for Restless Bandits UAI 2024 Hierarchize Pareto Dominance in Multi-Objective Stochastic Linear Bandits AAAI 2024 How Does Variance Shape the Regret in Contextual Bandits? NeurIPS 2024 Identifying Copeland Winners in Dueling Bandits with Indifferences AISTATS 2024 Improved Algorithm for Adversarial Linear Mixture MDPs with Bandit Feedback and Unknown Transition AISTATS 2024 Improved Analysis for Bandit Learning in Matching Markets NeurIPS 2024 Improved Bayes Regret Bounds for Multi-Task Hierarchical Bayesian Bandit Algorithms NeurIPS 2024 Improved Regret Bounds of (Multinomial) Logistic Bandits via Regret-to-Confidence-Set Conversion AISTATS 2024 Improved Regret for Bandit Convex Optimization with Delayed Feedback NeurIPS 2024 Improved Regret of Linear Ensemble Sampling NeurIPS 2024 Improving Health Information Access in the World’s Largest Maternal Mobile Health Program via Bandit Algorithms AAAI 2024 Incentivized Truthful Communication for Federated Bandits ICLR 2024 Information Capacity Regret Bounds for Bandits with Mediator Feedback JMLR 2024 Jump Starting Bandits with LLM-Generated Prior Knowledge EMNLP 2024 Learning Fair Division from Bandit Feedback AISTATS 2024 Learning Optimal Contracts: How to Exploit Small Action Spaces ICLR 2024 Learning the Pareto Set Under Incomplete Preferences: Pure Exploration in Vector Bandits AISTATS 2024 Learning Thresholds with Latent Values and Censored Feedback ICLR 2024