thompson sampling

Linear Thompson Sampling Revisited AISTATS 2017 On Thompson Sampling and Asymptotic Optimality IJCAI 2017 Optimistic posterior sampling for reinforcement learning: worst-case regret bounds NeurIPS 2017 Parallel and Distributed Thompson Sampling for Large-scale Accelerated Exploration of Chemical Space 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 Thompson Sampling for the MNL-Bandit COLT 2017 An Information-Theoretic Analysis of Thompson Sampling JMLR 2016 Double Thompson Sampling for Dueling Bandits NeurIPS 2016 Optimistic Gittins Indices NeurIPS 2016 Simple Bayesian Algorithms for Best Arm Identification COLT 2016 Bandit Convex Optimization: \sqrtT Regret in One Dimension COLT 2015 Efficient Learning in Large-Scale Combinatorial Semi-Bandits ICML 2015 Efficient Thompson Sampling for Online Matrix-Factorization Recommendation NeurIPS 2015 Optimal Regret Analysis of Thompson Sampling in Stochastic Multi-armed Bandit Problem with Multiple Plays ICML 2015 Reactive bandits with attitude AISTATS 2015 Sensor Selection for Crowdsensing Dynamical Systems AISTATS 2015 Thompson Sampling for Learning Parameterized Markov Decision Processes COLT 2015 Cover Tree Bayesian Reinforcement Learning JMLR 2014 Learning to Optimize via Information-Directed Sampling NeurIPS 2014 Optimality of Thompson Sampling for Gaussian Bandits Depends on Priors AISTATS 2014 Stochastic Regret Minimization via Thompson Sampling COLT 2014 Thompson Sampling for Complex Online Problems ICML 2014 Bayesian Mixture Modelling and Inference based Thompson Sampling in Monte-Carlo Tree Search NeurIPS 2013