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

Maxime Vono
N. Dobigeon
P. Chainais
ArXiv (abs)PDFHTML

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

8 / 8 papers shown
Title
Split Gibbs Discrete Diffusion Posterior Sampling
Split Gibbs Discrete Diffusion Posterior Sampling
Wenda Chu
Zihui Wu
Yifan Chen
Yang Song
Yisong Yue
75
2
0
03 Mar 2025
Provable Accuracy Bounds for Hybrid Dynamical Optimization and Sampling
Provable Accuracy Bounds for Hybrid Dynamical Optimization and Sampling
Matthew Burns
Qingyuan Hou
Michael Huang
439
1
0
08 Oct 2024
Global consensus Monte Carlo
Global consensus Monte Carlo
Lewis J. Rendell
A. M. Johansen
Anthony Lee
N. Whiteley
76
40
0
24 Jul 2018
Efficient Bayesian computation by proximal Markov chain Monte Carlo: when Langevin meets Moreau
Efficient Bayesian computation by proximal Markov chain Monte Carlo: when Langevin meets Moreau
Alain Durmus
Eric Moulines
Marcelo Pereyra
80
176
0
22 Dec 2016
Fast Hyperspectral Unmixing in Presence of Nonlinearity or Mismodelling Effects
Fast Hyperspectral Unmixing in Presence of Nonlinearity or Mismodelling Effects
Abderrahim Halimi
J. Bioucas-Dias
N. Dobigeon
G. Buller
S. Mclaughlin
42
59
0
18 Jul 2016
Bayesian anti-sparse coding
Bayesian anti-sparse coding
Clément Elvira
P. Chainais
N. Dobigeon
47
15
0
18 Dec 2015
Gradient Scan Gibbs Sampler: an efficient algorithm for high-dimensional Gaussian distributions
Gradient Scan Gibbs Sampler: an efficient algorithm for high-dimensional Gaussian distributions
O. Féron
F. Orieux
J. Giovannelli
56
15
0
11 Sep 2015
Proximal Markov chain Monte Carlo algorithms
Proximal Markov chain Monte Carlo algorithms
Marcelo Pereyra
102
178
0
02 Jun 2013