multi-armed bandit

Almost Free: Self-concordance in Natural Exponential Families and an Application to Bandits NeurIPS 2024 An Adaptive Approach for Infinitely Many-armed Bandits under Generalized Rotting Constraints NeurIPS 2024 An Adaptive Implicit Hitting Set Algorithm for MAP and MPE Inference PGM 2024 Assouad, Fano, and Le Cam with Interaction: A Unifying Lower Bound Framework and Characterization for Bandit Learnability NeurIPS 2024 A Survey on Multi-player Bandits JMLR 2024 A Unified Framework for Discovering Discrete Symmetries AISTATS 2024 AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation EMNLP 2024 Autoregressive Bandits AISTATS 2024 Bandit Pareto Set Identification: the Fixed Budget Setting AISTATS 2024 BanditQ:Fair Bandits with Guaranteed Rewards UAI 2024 Bandits Meet Mechanism Design to Combat Clickbait in Online Recommendation ICLR 2024 Bandits with Abstention under Expert Advice NeurIPS 2024 Bandits with Concave Aggregated Reward IJCAI 2024 Bandits with Ranking Feedback NeurIPS 2024 Best Arm Identification with Resource Constraints AISTATS 2024 Best Arm Identification with Retroactively Increased Sampling Budget for More Resource-Efficient HPO IJCAI 2024 Beyond Primal-Dual Methods in Bandits with Stochastic and Adversarial Constraints NeurIPS 2024 Building Higher-Order Abstractions from the Components of Recommender Systems AAAI 2024 Can large language models explore in-context? NeurIPS 2024 Can Probabilistic Feedback Drive User Impacts in Online Platforms? AISTATS 2024 CapEEN: Image Captioning with Early Exits and Knowledge Distillation EMNLP 2024 Causally Abstracted Multi-armed Bandits UAI 2024 Code Repair with LLMs gives an Exploration-Exploitation Tradeoff NeurIPS 2024 Combinatorial Bandits for Maximum Value Reward Function under Value-Index Feedback ICLR 2024 Combinatorial Stochastic-Greedy Bandit AAAI 2024