multi-armed bandit

Inference for Batched Bandits NeurIPS 2020 Information Directed Sampling for Linear Partial Monitoring COLT 2020 Learning by Repetition: Stochastic Multi-armed Bandits under Priming Effect UAI 2020 Learning to Decode: Reinforcement Learning for Decoding of Sparse Graph-Based Channel Codes NeurIPS 2020 Linear Bandits with Feature Feedback AAAI 2020 (Locally) Differentially Private Combinatorial Semi-Bandits ICML 2020 Locally Differentially Private (Contextual) Bandits Learning NeurIPS 2020 Multi-Feedback Bandit Learning with Probabilistic Contexts IJCAI 2020 Multi-Player Bandits: The Adversarial Case JMLR 2020 Multi-Source Domain Adaptation for Text Classification via DistanceNet-Bandits AAAI 2020 My Fair Bandit: Distributed Learning of Max-Min Fairness with Multi-player Bandits ICML 2020 Neuron Shapley: Discovering the Responsible Neurons NeurIPS 2020 Non-Stationary Delayed Bandits with Intermediate Observations ICML 2020 Non-Stochastic Multi-Player Multi-Armed Bandits: Optimal Rate With Collision Information, Sublinear Without COLT 2020 Observe Before Play: Multi-Armed Bandit with Pre-Observations AAAI 2020 Old Dog Learns New Tricks: Randomized UCB for Bandit Problems AISTATS 2020 On Adaptivity in Information-Constrained Online Learning AAAI 2020 On Approximate Thompson Sampling with Langevin Algorithms ICML 2020 On Conditional Versus Marginal Bias in Multi-Armed Bandits ICML 2020 Online Batch Decision-Making with High-Dimensional Covariates AISTATS 2020 Online Evaluation of Audiences for Targeted Advertising via Bandit Experiments AAAI 2020 Online Learning for Active Cache Synchronization ICML 2020 Online Learning with Vector Costs and Bandits with Knapsacks COLT 2020 Online Second Price Auction with Semi-Bandit Feedback under the Non-Stationary Setting AAAI 2020 On Regret with Multiple Best Arms NeurIPS 2020