Optimal approximating Markov chains for Bayesian inference

13 August 2015

Papers citing "Optimal approximating Markov chains for Bayesian inference"

5 / 5 papers shown

Title
Minibatch Gibbs Sampling on Large Graphical Models Christopher De Sa Vincent Chen W. Wong 9 19 0 15 Jun 2018
Importance sampling correction versus standard averages of reversible MCMCs in terms of the asymptotic variance Jordan Franks M. Vihola 11 17 0 29 Jun 2017
Informed Sub-Sampling MCMC: Approximate Bayesian Inference for Large Datasets Florian Maire Nial Friel Pierre Alquier 26 14 0 26 Jun 2017
On the Convergence of Stochastic Gradient MCMC Algorithms with High-Order Integrators Changyou Chen Nan Ding Lawrence Carin 32 158 0 21 Oct 2016
Perturbation theory for Markov chains via Wasserstein distance Daniel Rudolf Nikolaus Schweizer 28 107 0 13 Mar 2015