Multi-Armed Bandits

Phase Transitions and Cyclic Phenomena in Bandits with Switching Constraints NeurIPS 2019 Policy Evaluation with Latent Confounders via Optimal Balance NeurIPS 2019 Polynomial Cost of Adaptation for X-Armed Bandits NeurIPS 2019 Problem-dependent Regret Bounds for Online Learning with Feedback Graphs UAI 2019 Pure Exploration with Multiple Correct Answers NeurIPS 2019 Recovering Bandits NeurIPS 2019 Reducing Exploration of Dying Arms in Mortal Bandits UAI 2019 Regret Bounds for Thompson Sampling in Episodic Restless Bandit Problems NeurIPS 2019 Scalable Thompson Sampling via Optimal Transport AISTATS 2019 Semi-Parametric Sampling for Stochastic Bandits with Many Arms AAAI 2019 Sequential Experimental Design for Transductive Linear Bandits NeurIPS 2019 SIC-MMAB: Synchronisation Involves Communication in Multiplayer Multi-Armed Bandits NeurIPS 2019 Stochastic Bandits with Context Distributions NeurIPS 2019 Surrogate Objectives for Batch Policy Optimization in One-step Decision Making NeurIPS 2019 Thompson Sampling and Approximate Inference NeurIPS 2019 Thompson Sampling with Information Relaxation Penalties NeurIPS 2019 Thresholding Bandit with Optimal Aggregate Regret NeurIPS 2019 Unified Policy Optimization for Robust Reinforcement Learning ACML 2019 A Bandit Approach to Sequential Experimental Design with False Discovery Control NeurIPS 2018 Accurate Inference for Adaptive Linear Models ICML 2018 Active Discriminative Network Representation Learning IJCAI 2018 Adaptation to Easy Data in Prediction with Limited Advice NeurIPS 2018 Adaptive Exploration-Exploitation Tradeoff for Opportunistic Bandits ICML 2018 Adaptive Learning with Unknown Information Flows NeurIPS 2018 Advancements in Dueling Bandits IJCAI 2018