multi-armed bandit

Non-Asymptotic Analysis of a New Bandit Algorithm for Semi-Bounded Rewards JMLR 2015 On Identifying Good Options under Combinatorially Structured Feedback in Finite Noisy Environments ICML 2015 Online Learning with Feedback Graphs: Beyond Bandits COLT 2015 Online Learning with Gaussian Payoffs and Side Observations NeurIPS 2015 On Top-k Selection in Multi-Armed Bandits and Hidden Bipartite Graphs NeurIPS 2015 Optimal Regret Analysis of Thompson Sampling in Stochastic Multi-armed Bandit Problem with Multiple Plays ICML 2015 Qualitative Multi-Armed Bandits: A Quantile-Based Approach ICML 2015 Reactive bandits with attitude AISTATS 2015 Regret Lower Bound and Optimal Algorithm in Finite Stochastic Partial Monitoring NeurIPS 2015 Simple regret for infinitely many armed bandits ICML 2015 Stochastic Online Greedy Learning with Semi-bandit Feedbacks NeurIPS 2015 The Pareto Regret Frontier for Bandits NeurIPS 2015 Active Contextual Policy Search JMLR 2014 Adaptive Monte Carlo via Bandit Allocation ICML 2014 A Drifting-Games Analysis for Online Learning and Applications to Boosting NeurIPS 2014 A Latent Source Model for Online Collaborative Filtering NeurIPS 2014 A UCB-Like Strategy of Collaborative Filtering ACML 2014 Best-Arm Identification in Linear Bandits NeurIPS 2014 Boosting with Online Binary Learners for the Multiclass Bandit Problem ICML 2014 Bounded Regret for Finite-Armed Structured Bandits NeurIPS 2014 Combinatorial Partial Monitoring Game with Linear Feedback and Its Applications ICML 2014 Combinatorial Pure Exploration of Multi-Armed Bandits NeurIPS 2014 Conditional Swap Regret and Conditional Correlated Equilibrium NeurIPS 2014 Contextual Bandits with Similarity Information JMLR 2014 Discovering, Learning and Exploiting Relevance NeurIPS 2014