multi-armed bandit

Honor Among Bandits: No-Regret Learning for Online Fair Division NeurIPS 2024 How Does Variance Shape the Regret in Contextual Bandits? NeurIPS 2024 Hypothesis Generation with Large Language Models EMNLP 2024 Improved Analysis for Bandit Learning in Matching Markets NeurIPS 2024 Improved Bandits in Many-to-One Matching Markets with Incentive Compatibility AAAI 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 of Linear Ensemble Sampling NeurIPS 2024 Improving Health Information Access in the World’s Largest Maternal Mobile Health Program via Bandit Algorithms AAAI 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 Human-like Representations to Enable Learning Human Values NeurIPS 2024 Learning the Pareto Set Under Incomplete Preferences: Pure Exploration in Vector Bandits AISTATS 2024 Learning to Mitigate Externalities: the Coase Theorem with Hindsight Rationality NeurIPS 2024 Learning to Price Homogeneous Data NeurIPS 2024 Learning to Relax: Setting Solver Parameters Across a Sequence of Linear System Instances ICLR 2024 Leveraging (Biased) Information: Multi-armed Bandits with Offline Data ICML 2024 Locally Private and Robust Multi-Armed Bandits NeurIPS 2024 Meta Learning in Bandits within shared affine Subspaces AISTATS 2024 Mode Estimation with Partial Feedback COLT 2024 Model-Based Best Arm Identification for Decreasing Bandits AISTATS 2024 Multi-Agent Bandit Learning through Heterogeneous Action Erasure Channels AISTATS 2024 Multi-armed bandits with guaranteed revenue per arm AISTATS 2024 Multiobjective Lipschitz Bandits under Lexicographic Ordering AAAI 2024