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bayesian posterior sampling

5 papers

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Co-occurring keywords · papers mentioning both

hamiltonian monte carlo (2) markov chain monte carlo (2) bayesian inference (2) auxiliary variable methods (1) stochastic differential equation (1) bayesian neural network (1) probit regression (1) mini-batch sampling (1) metropolis-adjusted langevin algorithm (1) discretization error (1)

Papers

On the Computational Complexity of Metropolis-Adjusted Langevin Algorithms for Bayesian Posterior Sampling JMLR 2024 Supervised Pretraining Can Learn In-Context Reinforcement Learning NeurIPS 2023 Revisiting the Effects of Stochasticity for Hamiltonian Samplers ICML 2022 RoCUS: Robot Controller Understanding via Sampling CoRL 2021 Auxiliary-variable Exact Hamiltonian Monte Carlo Samplers for Binary Distributions NeurIPS 2013