Multi-Armed Bandits

Graph-Dependent Regret Bounds in Multi-Armed Bandits with Interference UAI 2026 Improved Regret in Stochastic Decision-Theoretic Online Learning under Differential Privacy ALT 2026 Large Language Model-Enhanced Multi-Armed Bandits ACL 2026 Learning Periodic Strategies in Blocking Bandits Is as Hard as Bandits with Switching Costs COLT 2026 Leveraging Similarities in Multi-Armed Bandits COLT 2026 MAB-DQA: Addressing Query Aspect Importance in Document Question Answering with Multi-Armed Bandits ACL 2026 Mixture-Greedy for Online Generative Model Selection: Is UCB Necessary in Diversity-Aware Multi-Armed Bandits? UAI 2026 Near-Optimal Regret for Distributed Adversarial Bandits: A Black-Box Approach COLT 2026 Neural Exploitation and Exploration of Contextual Bandits JMLR 2026 Online Market Making and the Value of Observing the Order Book COLT 2026 On The Complexity of Best-Arm Identification in Non-Stationary Linear Bandits COLT 2026 On the Sublinear Regret of Continuous K-Max Bandits UAI 2026 On Transportability for Structural Causal Bandits UAI 2026 Optimism Stabilizes Thompson Sampling for Adaptive Inference COLT 2026 Optimizing User Profiles via Contextual Bandits for Retrieval-Augmented LLM Personalization ACL 2026 OVOD-Agent: A Markov-Bandit Framework for Proactive Visual Reasoning and Self-Evolving Detection CVPR 2026 Probably Correct Optimal Stable Matching under Two-Sided Uncertainty UAI 2026 Provably Efficient Personalized Multi-Objective Bandits with Proactive Conversational Queries UAI 2026 Recycling History: Efficient Recommendations from Contextual Dueling Bandits ALT 2026 Reward Selection with Noisy Observations ALT 2026 Robust and Computationally Efficient Linear Contextual Bandits under Adversarial Corruption and Heavy-Tailed Noise UAI 2026 Self-Concordant Perturbations for Linear Bandits COLT 2026 Sharp analysis of linear ensemble sampling COLT 2026 Should You Use Your Large Language Model to Explore or Exploit? UAI 2026 Sparse Nonparametric Contextual Bandits ALT 2026