multi-armed bandit

Thompson Sampling on Symmetric Alpha-Stable Bandits IJCAI 2019 Thompson Sampling with Information Relaxation Penalties NeurIPS 2019 Thresholding Bandit with Optimal Aggregate Regret NeurIPS 2019 Top Feasible Arm Identification AISTATS 2019 Ultra Fast Medoid Identification via Correlated Sequential Halving NeurIPS 2019 Unified Policy Optimization for Robust Reinforcement Learning ACML 2019 Unifying the Stochastic and the Adversarial Bandits with Knapsack IJCAI 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 Adversarial Attacks on Stochastic Bandits NeurIPS 2018 A General Approach to Multi-Armed Bandits Under Risk Criteria COLT 2018 An Information-Theoretic Analysis for Thompson Sampling with Many Actions NeurIPS 2018 Bandit Learning with Positive Externalities NeurIPS 2018 Bandit Online Learning on Graphs via Adaptive Optimization IJCAI 2018 Bandit Regret Scaling with the Effective Loss Range ALT 2018 Bandits with Delayed, Aggregated Anonymous Feedback ICML 2018 Best arm identification in multi-armed bandits with delayed feedback AISTATS 2018 Best of both worlds: Stochastic & adversarial best-arm identification COLT 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