posterior sampling

Aggregated Gradient Langevin Dynamics AAAI 2020 Bandit Algorithms Based on Thompson Sampling for Bounded Reward Distributions ALT 2020 Bayesian model predictive control: Efficient model exploration and regret bounds using posterior sampling L4DC 2020 Distributionally Robust Bayesian Quadrature Optimization AISTATS 2020 Dueling Posterior Sampling for Preference-Based Reinforcement Learning UAI 2020 Efficiently sampling functions from Gaussian process posteriors ICML 2020 Expert-Supervised Reinforcement Learning for Offline Policy Learning and Evaluation NeurIPS 2020 Posterior sampling for multi-agent reinforcement learning: solving extensive games with imperfect information ICLR 2020 Posterior sampling strategies based on discretized stochastic differential equations for machine learning applications JMLR 2020 Randomized Exploration in Generalized Linear Bandits AISTATS 2020 Sequential Bayesian Experimental Design with Variable Cost Structure NeurIPS 2020 Auxiliary Variational MCMC ICLR 2019 Communication-Efficient Stochastic Gradient MCMC for Neural Networks AAAI 2019 Computational Separations between Sampling and Optimization NeurIPS 2019 Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables ICML 2019 Meta-Learning For Stochastic Gradient MCMC ICLR 2019 Myopic Posterior Sampling for Adaptive Goal Oriented Design of Experiments ICML 2019 On Connecting Stochastic Gradient MCMC and Differential Privacy AISTATS 2019 Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning NeurIPS 2019 The Relative Complexity of Maximum Likelihood Estimation, MAP Estimation, and Sampling COLT 2019 Coordinated Exploration in Concurrent Reinforcement Learning ICML 2018 Multiphase MCMC Sampling for Parameter Inference in Nonlinear Ordinary Differential Equations AISTATS 2018 Scalar Posterior Sampling with Applications NeurIPS 2018 The promises and pitfalls of Stochastic Gradient Langevin Dynamics NeurIPS 2018 Adaptive Information Gathering via Imitation Learning RSS 2017