thompson sampling

Randomized Value Functions via Multiplicative Normalizing Flows UAI 2019 Regret Bounds for Thompson Sampling in Episodic Restless Bandit Problems NeurIPS 2019 Scalable Thompson Sampling via Optimal Transport AISTATS 2019 Thompson Sampling and Approximate Inference NeurIPS 2019 Thompson Sampling for Multinomial Logit Contextual Bandits NeurIPS 2019 Thompson Sampling Guided Stochastic Searching on the Line for Deceptive Environments with Applications to Root-Finding Problems JMLR 2019 Thompson Sampling on Symmetric Alpha-Stable Bandits IJCAI 2019 Thompson Sampling with Information Relaxation Penalties NeurIPS 2019 An Information-Theoretic Analysis for Thompson Sampling with Many Actions NeurIPS 2018 Bandit Learning with Implicit Feedback NeurIPS 2018 Deep Bayesian Bandits Showdown: An Empirical Comparison of Bayesian Deep Networks for Thompson Sampling ICLR 2018 Improved Regret Bounds for Thompson Sampling in Linear Quadratic Control Problems ICML 2018 Parallelised Bayesian Optimisation via Thompson Sampling AISTATS 2018 PG-TS: Improved Thompson Sampling for Logistic Contextual Bandits NeurIPS 2018 Profitable Bandits ACML 2018 Racing Thompson: an Efficient Algorithm for Thompson Sampling with Non-conjugate Priors ICML 2018 Sequential Test for the Lowest Mean: From Thompson to Murphy Sampling NeurIPS 2018 Thompson Sampling for Combinatorial Semi-Bandits ICML 2018 Variational inference for the multi-armed contextual bandit AISTATS 2018 Context Attentive Bandits: Contextual Bandit with Restricted Context IJCAI 2017 Counterfactual Data-Fusion for Online Reinforcement Learners ICML 2017 Efficient Benchmarking of NLP APIs using Multi-armed Bandits EACL 2017 Ensemble Sampling NeurIPS 2017 Horde of Bandits using Gaussian Markov Random Fields AISTATS 2017 Learning Unknown Markov Decision Processes: A Thompson Sampling Approach NeurIPS 2017