Multi-Armed Bandits

A Unified Framework for Discovering Discrete Symmetries AISTATS 2024 Autobidders with Budget and ROI Constraints: Efficiency, Regret, and Pacing Dynamics COLT 2024 Autoregressive Bandits AISTATS 2024 BanditQ:Fair Bandits with Guaranteed Rewards UAI 2024 Bandits Meet Mechanism Design to Combat Clickbait in Online Recommendation ICLR 2024 Bandits with Concave Aggregated Reward IJCAI 2024 Bandits with Knapsacks and Predictions UAI 2024 Bandits with Ranking Feedback NeurIPS 2024 Bandits with Replenishable Knapsacks: the Best of both Worlds ICLR 2024 Best Arm Identification with Resource Constraints AISTATS 2024 Best-of-Both-Worlds Algorithms for Linear Contextual Bandits AISTATS 2024 Beyond Optimism: Exploration With Partially Observable Rewards NeurIPS 2024 Beyond task diversity: provable representation transfer for sequential multitask linear bandits NeurIPS 2024 Bootstrap Your Conversions: Thompson Sampling for Partially Observable Delayed Rewards UAI 2024 Building Higher-Order Abstractions from the Components of Recommender Systems AAAI 2024 Can Probabilistic Feedback Drive User Impacts in Online Platforms? AISTATS 2024 Cascading Reinforcement Learning ICLR 2024 Causal Bandits with General Causal Models and Interventions AISTATS 2024 Causally Abstracted Multi-armed Bandits UAI 2024 Combinatorial Bandits for Maximum Value Reward Function under Value-Index Feedback ICLR 2024 Combinatorial Causal Bandits without Graph Skeleton ACML 2024 Combinatorial Stochastic-Greedy Bandit AAAI 2024 Communication Bounds for the Distributed Experts Problem NeurIPS 2024 Communication-Efficient Federated Non-Linear Bandit Optimization ICLR 2024 Confounded Budgeted Causal Bandits CLeaR 2024