Multi-Armed Bandits

Learning a Ground Truth Ranking Using Noisy Approval Votes IJCAI 2017 Learning Unknown Markov Decision Processes: A Thompson Sampling Approach NeurIPS 2017 Minimal Exploration in Structured Stochastic Bandits NeurIPS 2017 Model-Independent Online Learning for Influence Maximization ICML 2017 Monte-Carlo Tree Search by Best Arm Identification NeurIPS 2017 Multi-Task Learning for Contextual Bandits NeurIPS 2017 Near Minimax Optimal Players for the Finite-Time 3-Expert Prediction Problem NeurIPS 2017 Off-policy evaluation for slate recommendation NeurIPS 2017 On Context-Dependent Clustering of Bandits ICML 2017 Online Learning to Rank with Top-k Feedback JMLR 2017 Optimal Posted-Price Mechanism in Microtask Crowdsourcing IJCAI 2017 Parallel and Distributed Thompson Sampling for Large-scale Accelerated Exploration of Chemical Space ICML 2017 Perishability of Data: Dynamic Pricing under Varying-Coefficient Models JMLR 2017 Position-based Multiple-play Bandit Problem with Unknown Position Bias NeurIPS 2017 Provably Optimal Algorithms for Generalized Linear Contextual Bandits ICML 2017 Real-Time Bidding with Side Information NeurIPS 2017 Safety-Aware Algorithms for Adversarial Contextual Bandit ICML 2017 Scalable Generalized Linear Bandits: Online Computation and Hashing NeurIPS 2017 The End of Optimism? An Asymptotic Analysis of Finite-Armed Linear Bandits AISTATS 2017 Thompson Sampling for Linear-Quadratic Control Problems AISTATS 2017 Thresholding Bandits with Augmented UCB IJCAI 2017 XOR-Sampling for Network Design with Correlated Stochastic Events IJCAI 2017 Adaptive Concentration Inequalities for Sequential Decision Problems NeurIPS 2016 An Information-Theoretic Analysis of Thompson Sampling JMLR 2016 Anytime Exploration for Multi-armed Bandits using Confidence Information ICML 2016