Asymptotically exact data augmentation: models, properties and algorithms

15 February 2019

Papers citing "Asymptotically exact data augmentation: models, properties and algorithms"

5 / 5 papers shown

Title
Machine Learning and the Future of Bayesian Computation Steven Winter Trevor Campbell Lizhen Lin Sanvesh Srivastava David B. Dunson TPM 47 4 0 21 Apr 2023
Plug-and-Play split Gibbs sampler: embedding deep generative priors in Bayesian inference Florentin Coeurdoux N. Dobigeon P. Chainais 27 15 0 21 Apr 2023
Federated Averaging Langevin Dynamics: Toward a unified theory and new algorithms Vincent Plassier Alain Durmus Eric Moulines FedML 21 6 0 31 Oct 2022
The divide-and-conquer sequential Monte Carlo algorithm: theoretical properties and limit theorems Juan Kuntz F. R. Crucinio A. M. Johansen 19 10 0 29 Oct 2021
Efficient MCMC Sampling with Dimension-Free Convergence Rate using ADMM-type Splitting Maxime Vono Daniel Paulin Arnaud Doucet 24 37 0 23 May 2019