Multi-Armed Bandits

Stop When Enough: Adaptive Early-Stopping for Chain-of-Thought Reasoning ACL 2026 Strategy-robust Online Learning in Contextual Pricing ALT 2026 Taming the Monster Every Context: Complexity Measure and Unified Framework for Offline-Oracle Efficient Contextual Bandits COLT 2026 The Minimal Search Space for Conditional Causal Bandits UAI 2026 The Price of Knowledge: Optimal Algorithms for Costly Bandits UAI 2026 The Role of Contextual Information in Best Arm Identification JMLR 2026 The Sample Complexity of Multiclass and Sparse Contextual Bandits COLT 2026 Truly Adapting to Adversarial Constraints in Constrained MABs COLT 2026 Unified Framework of Distributional Regret in Multi-Armed Bandits and Reinforcement Learning COLT 2026 Weighted Sequential Bayesian Inference for Non-Stationary Linear Contextual Bandits UAI 2026 Adapting to Non-Stationary Environments: Multi-Armed Bandit Enhanced Retrieval-Augmented Generation on Knowledge Graphs AAAI 2025 Adaptive Threshold Sampling for Pure Exploration in Submodular Bandits UAI 2025 Almost Optimal Batch-Regret Tradeoff for Batch Linear Contextual Bandits ICLR 2025 A Multi-Armed Bandit Approach to Online Selection and Evaluation of Generative Models AISTATS 2025 Approximate information maximization for bandit games AISTATS 2025 Asymptotically Optimal Linear Best Feasible Arm Identification with Fixed Budget UAI 2025 Asymptotically Optimal Problem-Dependent Bandit Policies for Transfer Learning ACML 2025 A Tight Regret Analysis of Non-Parametric Repeated Contextual Brokerage AISTATS 2025 Augmenting Online RL with Offline Data is All You Need: A Unified Hybrid RL Algorithm Design and Analysis UAI 2025 A Unified Analysis of Nonstochastic Delayed Feedback for Combinatorial Semi-Bandits, Linear Bandits, and MDPs JMLR 2025 Balans: Multi-Armed Bandits-based Adaptive Large Neighborhood Search for Mixed-Integer Programming Problems IJCAI 2025 Bandit Learning in Matching Markets with Indifference ICLR 2025 Bandit Pareto Set Identification in a Multi-Output Linear Model AISTATS 2025 Batch Ensemble for Variance Dependent Regret in Stochastic Bandits AAAI 2025 Be More Diverse than the Most Diverse: Optimal Mixtures of Generative Models via Mixture-UCB Bandit Algorithms ICLR 2025