Multi-Armed Bandits

Adversarial Attacks on Stochastic Bandits NeurIPS 2018 A fully adaptive algorithm for pure exploration in linear bandits AISTATS 2018 Almost Optimal Algorithms for Linear Stochastic Bandits with Heavy-Tailed Payoffs NeurIPS 2018 An Information-Theoretic Analysis for Thompson Sampling with Many Actions NeurIPS 2018 A Novel Strategy for Active Task Assignment in Crowd Labeling IJCAI 2018 A Smoothed Analysis of the Greedy Algorithm for the Linear Contextual Bandit Problem NeurIPS 2018 Bandit Learning with Positive Externalities NeurIPS 2018 Bandit Online Learning on Graphs via Adaptive Optimization IJCAI 2018 Bandits with Delayed, Aggregated Anonymous Feedback ICML 2018 Beyond the Click-Through Rate: Web Link Selection with Multi-level Feedback IJCAI 2018 Causal Bandits with Propagating Inference ICML 2018 Combinatorial Pure Exploration with Continuous and Separable Reward Functions and Its Applications IJCAI 2018 Combinatorial Semi-Bandits with Knapsacks AISTATS 2018 Contextual bandits with surrogate losses: Margin bounds and efficient algorithms NeurIPS 2018 Contextual Combinatorial Multi-armed Bandits with Volatile Arms and Submodular Reward NeurIPS 2018 Contextual Pricing for Lipschitz Buyers NeurIPS 2018 Coordinate Descent with Bandit Sampling NeurIPS 2018 Cost-aware Cascading Bandits IJCAI 2018 Deep Bayesian Bandits Showdown: An Empirical Comparison of Bayesian Deep Networks for Thompson Sampling ICLR 2018 Differentially Private Contextual Linear Bandits NeurIPS 2018 Distributed Multi-Player Bandits - a Game of Thrones Approach NeurIPS 2018 Efficient Mechanisms for Peer Grading and Dueling Bandits ACML 2018 Efficient nonmyopic batch active search NeurIPS 2018 Factored Bandits NeurIPS 2018 Feasible Arm Identification ICML 2018