Multi-Armed Bandits

VCG Mechanism Design with Unknown Agent Values under Stochastic Bandit Feedback JMLR 2023 Vector Optimization with Stochastic Bandit Feedback AISTATS 2023 Weighted Tallying Bandits: Overcoming Intractability via Repeated Exposure Optimality ICML 2023 A Bandit Model for Human-Machine Decision Making with Private Information and Opacity AISTATS 2022 A Bayesian Approach for Stochastic Continuum-armed Bandit with Long-term Constraints AISTATS 2022 A causal bandit approach to learning good atomic interventions in presence of unobserved confounders UAI 2022 Adaptive Best-of-Both-Worlds Algorithm for Heavy-Tailed Multi-Armed Bandits ICML 2022 Adaptive Gating for Single-Photon 3D Imaging CVPR 2022 Adaptively Exploiting d-Separators with Causal Bandits NeurIPS 2022 Adversarial Attacks on Gaussian Process Bandits ICML 2022 Adversarially Robust Multi-Armed Bandit Algorithm with Variance-Dependent Regret Bounds COLT 2022 A Last Switch Dependent Analysis of Satiation and Seasonality in Bandits AISTATS 2022 A Lyapunov-Based Methodology for Constrained Optimization with Bandit Feedback AAAI 2022 An α-No-Regret Algorithm For Graphical Bilinear Bandits NeurIPS 2022 An Analysis of Ensemble Sampling NeurIPS 2022 An Asymptotically Optimal Batched Algorithm for the Dueling Bandit Problem NeurIPS 2022 A Near-Optimal Best-of-Both-Worlds Algorithm for Online Learning with Feedback Graphs NeurIPS 2022 A Non-asymptotic Approach to Best-Arm Identification for Gaussian Bandits AISTATS 2022 An Online Learning Approach to Sequential User-Centric Selection Problems AAAI 2022 Anonymous Bandits for Multi-User Systems NeurIPS 2022 Anti-Concentrated Confidence Bonuses For Scalable Exploration ICLR 2022 Approximate Function Evaluation via Multi-Armed Bandits AISTATS 2022 Approximate Top-m Arm Identification with Heterogeneous Reward Variances AISTATS 2022 A Reduction-Based Framework for Conservative Bandits and Reinforcement Learning ICLR 2022 A Reduction from Linear Contextual Bandits Lower Bounds to Estimations Lower Bounds ICML 2022