thompson sampling

Stage-wise Conservative Linear Bandits NeurIPS 2020 Statistical Efficiency of Thompson Sampling for Combinatorial Semi-Bandits NeurIPS 2020 Stochastic Neural Network with Kronecker Flow AISTATS 2020 The Intrinsic Robustness of Stochastic Bandits to Strategic Manipulation ICML 2020 Thompson Sampling Algorithms for Mean-Variance Bandits ICML 2020 Thompson Sampling for Adversarial Bit Prediction ALT 2020 Thompson Sampling for Linearly Constrained Bandits AISTATS 2020 Thompson Sampling for Unsupervised Sequential Selection ACML 2020 Thompson Sampling via Local Uncertainty ICML 2020 Adaptive Sensor Placement for Continuous Spaces ICML 2019 Adaptive Thompson Sampling Stacks for Memory Bounded Open-Loop Planning IJCAI 2019 Analysis of Thompson Sampling for Combinatorial Multi-armed Bandit with Probabilistically Triggered Arms AISTATS 2019 A Thompson Sampling Algorithm for Cascading Bandits AISTATS 2019 AutoSeM: Automatic Task Selection and Mixing in Multi-Task Learning NAACL 2019 Connections Between Mirror Descent, Thompson Sampling and the Information Ratio NeurIPS 2019 Contextual Multi-armed Bandit Algorithm for Semiparametric Reward Model ICML 2019 Efficient Linear Bandits through Matrix Sketching AISTATS 2019 Fully Distributed Bayesian Optimization with Stochastic Policies IJCAI 2019 Gain estimation of linear dynamical systems using Thompson Sampling AISTATS 2019 Incorporating Behavioral Constraints in Online AI Systems AAAI 2019 Information-Theoretic Confidence Bounds for Reinforcement Learning NeurIPS 2019 Marginal Posterior Sampling for Slate Bandits IJCAI 2019 Memory Bounded Open-Loop Planning in Large POMDPs Using Thompson Sampling AAAI 2019 On the Performance of Thompson Sampling on Logistic Bandits COLT 2019 Problem-dependent Regret Bounds for Online Learning with Feedback Graphs UAI 2019