multi-armed bandit

Regret of Queueing Bandits NeurIPS 2016 Scalable Discrete Sampling as a Multi-Armed Bandit Problem ICML 2016 The Multi-fidelity Multi-armed Bandit NeurIPS 2016 Threshold Bandits, With and Without Censored Feedback NeurIPS 2016 Tight (Lower) Bounds for the Fixed Budget Best Arm Identification Bandit Problem COLT 2016 Time-Varying Gaussian Process Bandit Optimization AISTATS 2016 Tracking the Best Expert in Non-stationary Stochastic Environments NeurIPS 2016 Verification Based Solution for Structured MAB Problems NeurIPS 2016 Adaptive Strategy for Stratified Monte Carlo Sampling JMLR 2015 Bandits with Unobserved Confounders: A Causal Approach NeurIPS 2015 Batched Bandit Problems COLT 2015 Budgeted Bandit Problems with Continuous Random Costs ACML 2015 Cascading Bandits: Learning to Rank in the Cascade Model ICML 2015 Cheap Bandits ICML 2015 Combinatorial Bandits Revisited NeurIPS 2015 Combinatorial Cascading Bandits NeurIPS 2015 Copeland Dueling Bandits NeurIPS 2015 Cornering Stationary and Restless Mixing Bandits with Remix-UCB NeurIPS 2015 Efficient Learning in Large-Scale Combinatorial Semi-Bandits ICML 2015 Efficient Thompson Sampling for Online Matrix-Factorization Recommendation NeurIPS 2015 Explore no more: Improved high-probability regret bounds for non-stochastic bandits NeurIPS 2015 Fighting Bandits with a New Kind of Smoothness NeurIPS 2015 Global Multi-armed Bandits with Hölder Continuity AISTATS 2015 High Dimensional Bayesian Optimisation and Bandits via Additive Models ICML 2015 Linear Multi-Resource Allocation with Semi-Bandit Feedback NeurIPS 2015