multi-armed bandit

TS-UCB: Improving on Thompson Sampling With Little to No Additional Computation AISTATS 2023 VCG Mechanism Design with Unknown Agent Values under Stochastic Bandit Feedback JMLR 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 Best-of-Both-Worlds Algorithm for Bandits with Delayed Feedback NeurIPS 2022 A causal bandit approach to learning good atomic interventions in presence of unobserved confounders UAI 2022 Achieving Counterfactual Fairness for Causal Bandit AAAI 2022 Adaptive Best-of-Both-Worlds Algorithm for Heavy-Tailed Multi-Armed Bandits ICML 2022 Adaptive Oracle-Efficient Online Learning 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 An α-No-Regret Algorithm For Graphical Bilinear Bandits NeurIPS 2022 A Near-Optimal Best-of-Both-Worlds Algorithm for Online Learning with Feedback Graphs NeurIPS 2022 An explore-then-commit algorithm for submodular maximization under full-bandit feedback UAI 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 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 Sharp Memory-Regret Trade-off for Multi-Pass Streaming Bandits COLT 2022 A Simple and Optimal Policy Design for Online Learning with Safety against Heavy-tailed Risk NeurIPS 2022 A Survey of Risk-Aware Multi-Armed Bandits IJCAI 2022