Split-and-augmented Gibbs sampler - Application to large-scale inference problems

16 April 2018

Papers citing "Split-and-augmented Gibbs sampler - Application to large-scale inference problems"

9 / 9 papers shown

Title
Provable Accuracy Bounds for Hybrid Dynamical Optimization and Sampling Matthew Burns Qingyuan Hou Michael Huang 155 1 0 08 Oct 2024
Principled Probabilistic Imaging using Diffusion Models as Plug-and-Play Priors Zihui Wu Yu Sun Yifan Chen Bingliang Zhang Yisong Yue Katherine Bouman DiffM 34 20 0 29 May 2024
Distributed Markov Chain Monte Carlo Sampling based on the Alternating Direction Method of Multipliers Alexandros E. Tzikas Licio Romao Mert Pilanci Alessandro Abate Mykel J. Kochenderfer 34 0 0 29 Jan 2024
Machine Learning and the Future of Bayesian Computation Steven Winter Trevor Campbell Lizhen Lin Sanvesh Srivastava David B. Dunson TPM 45 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
Optimized Population Monte Carlo Victor Elvira Émilie Chouzenoux 32 23 0 14 Apr 2022
Efficient MCMC Sampling with Dimension-Free Convergence Rate using ADMM-type Splitting Maxime Vono Daniel Paulin Arnaud Doucet 24 37 0 23 May 2019
Asymptotically exact data augmentation: models, properties and algorithms Maxime Vono N. Dobigeon P. Chainais 23 27 0 15 Feb 2019
New models for symbolic data analysis B. Beranger Huan-xiang Lin Scott A. Sisson 21 25 0 11 Sep 2018