multi-armed bandit

Mutli-Armed Bandits with Network Interference NeurIPS 2024 Near Optimal Adversarial Attacks on Stochastic Bandits and Defenses with Smoothed Responses AISTATS 2024 Near-optimal Per-Action Regret Bounds for Sleeping Bandits AISTATS 2024 Near-Optimal Pure Exploration in Matrix Games: A Generalization of Stochastic Bandits & Dueling Bandits AISTATS 2024 No-Regret Bandit Exploration based on Soft Tree Ensemble Model NeurIPS 2024 No-Regret Learning for Fair Multi-Agent Social Welfare Optimization NeurIPS 2024 No-Regret M${}^{\natural}$-Concave Function Maximization: Stochastic Bandit Algorithms and NP-Hardness of Adversarial Full-Information Setting NeurIPS 2024 On Interpolating Experts and Multi-Armed Bandits ICML 2024 Online learning in bandits with predicted context AISTATS 2024 Online Learning in Contextual Second-Price Pay-Per-Click Auctions AISTATS 2024 Online Learning of Delayed Choices NeurIPS 2024 Online Learning with Sublinear Best-Action Queries NeurIPS 2024 Online Recommendations for Agents with Discounted Adaptive Preferences ALT 2024 Only Pay for What Is Uncertain: Variance-Adaptive Thompson Sampling ICLR 2024 On Multi-Armed Bandit with Impatient Arms ICML 2024 On the Minimax Regret for Contextual Linear Bandits and Multi-Armed Bandits with Expert Advice NeurIPS 2024 Open Problem: Optimal Rates for Stochastic Decision-Theoretic Online Learning Under Differentially Privacy COLT 2024 Optimal Batched Best Arm Identification NeurIPS 2024 Optimal Learning Policies for Differential Privacy in Multi-armed Bandits JMLR 2024 Optimal Multi-Fidelity Best-Arm Identification NeurIPS 2024 Optimal Regret Bounds for Collaborative Learning in Bandits ALT 2024 Optimal Top-Two Method for Best Arm Identification and Fluid Analysis NeurIPS 2024 Optimizing the coalition gain in Online Auctions with Greedy Structured Bandits NeurIPS 2024 PageRank Bandits for Link Prediction NeurIPS 2024 Pareto Front-Diverse Batch Multi-Objective Bayesian Optimization AAAI 2024