bayesian regret

Mirror Descent and the Information Ratio COLT 2021 Variational Bayesian Optimistic Sampling NeurIPS 2021 Variational Bayesian Reinforcement Learning with Regret Bounds NeurIPS 2021 Distributionally Robust Bayesian Quadrature Optimization AISTATS 2020 Dueling Posterior Sampling for Preference-Based Reinforcement Learning UAI 2020 First-Order Bayesian Regret Analysis of Thompson Sampling ALT 2020 On Thompson Sampling for Smoother-than-Lipschitz Bandits AISTATS 2020 Adaptive Sensor Placement for Continuous Spaces ICML 2019 An Information-Theoretic Approach to Minimax Regret in Partial Monitoring COLT 2019 On the Performance of Thompson Sampling on Logistic Bandits COLT 2019 Regret Bounds for Thompson Sampling in Episodic Restless Bandit Problems NeurIPS 2019 An Information-Theoretic Analysis for Thompson Sampling with Many Actions NeurIPS 2018 Scalar Posterior Sampling with Applications NeurIPS 2018 The Externalities of Exploration and How Data Diversity Helps Exploitation COLT 2018 Why is Posterior Sampling Better than Optimism for Reinforcement Learning? ICML 2017 Optimistic Gittins Indices NeurIPS 2016 Prior-free and prior-dependent regret bounds for Thompson Sampling NeurIPS 2013