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1312.5658
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A shrinkage-thresholding Metropolis adjusted Langevin algorithm for Bayesian variable selection
IEEE Journal on Selected Topics in Signal Processing (IEEE JSTSP), 2013
19 December 2013
Amandine Schreck
G. Fort
Sylvain Le Corff
Eric Moulines
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Papers citing
"A shrinkage-thresholding Metropolis adjusted Langevin algorithm for Bayesian variable selection"
26 / 26 papers shown
A semiconcavity approach to stability of entropic plans and exponential convergence of Sinkhorn's algorithm
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Giovanni Conforti
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Provably Efficient Posterior Sampling for Sparse Linear Regression via Measure Decomposition
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Yuchen Wu
303
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27 Jun 2024
Geometric ergodicity of trans-dimensional Markov chain Monte Carlo algorithms
Journal of the American Statistical Association (JASA), 2023
Qian Qin
304
3
0
31 Jul 2023
Non-Log-Concave and Nonsmooth Sampling via Langevin Monte Carlo Algorithms
Tim Tsz-Kit Lau
Han Liu
Thomas Pock
455
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0
25 May 2023
Sparse Bayesian Inference with Regularized Gaussian Distributions
Inverse Problems (IP), 2023
J. M. Everink
Yiqiu Dong
Martin Skovgaard Andersen
159
5
0
14 Feb 2023
Monge, Bregman and Occam: Interpretable Optimal Transport in High-Dimensions with Feature-Sparse Maps
International Conference on Machine Learning (ICML), 2023
Marco Cuturi
Stephen Zhang
Pierre Ablin
OT
285
19
0
08 Feb 2023
Gradient-based Adaptive Importance Samplers
Journal of the Franklin Institute (JFI), 2022
Victor Elvira
Émilie Chouzenoux
Ömer Deniz Akyildiz
Luca Martino
DiffM
374
10
0
19 Oct 2022
Efficient Bayes Inference in Neural Networks through Adaptive Importance Sampling
Journal of the Franklin Institute (JFI), 2022
Yunshi Huang
Émilie Chouzenoux
Victor Elvira
J. Pesquet
BDL
272
6
0
03 Oct 2022
Optimized Population Monte Carlo
IEEE Transactions on Signal Processing (IEEE TSP), 2021
Victor Elvira
Émilie Chouzenoux
275
28
0
14 Apr 2022
Covid19 Reproduction Number: Credibility Intervals by Blockwise Proximal Monte Carlo Samplers
IEEE Transactions on Signal Processing (IEEE Trans. Signal Process.), 2022
G. Fort
Barbara Pascal
P. Abry
N. Pustelnik
304
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0
17 Mar 2022
Sampling for Bayesian Mixture Models: MCMC with Polynomial-Time Mixing
Wenlong Mou
Nhat Ho
Martin J. Wainwright
Peter L. Bartlett
Sai Li
258
9
0
11 Dec 2019
Preconditioned P-ULA for Joint Deconvolution-Segmentation of Ultrasound Images -- Extended Version
IEEE Signal Processing Letters (SPL), 2019
M. Corbineau
Denis Kouamé
Émilie Chouzenoux
J. Tourneret
J. Pesquet
280
17
0
19 Mar 2019
An approach to large-scale Quasi-Bayesian inference with spike-and-slab priors
Yves Atchadé
A. Bhattacharyya
405
5
0
27 Mar 2018
Bayesian Lasso : Concentration and MCMC Diagnosis
Daoud Ounaissi
Nadji Rahmania
112
1
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22 Feb 2018
Communication-Efficient Distributed Statistical Inference
Sai Li
Jason D. Lee
Yun Yang
301
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0
25 May 2016
MCMC convergence diagnosis using geometry of Bayesian LASSO
A. Dermoune
Daoud Ounaissi
Nadji Rahmania
94
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04 Dec 2015
On the contraction properties of some high-dimensional quasi-posterior distributions
Yves F. Atchadé
464
39
0
31 Aug 2015
On the Computational Complexity of High-Dimensional Bayesian Variable Selection
Yun Yang
Martin J. Wainwright
Sai Li
223
159
0
29 May 2015
A Moreau-Yosida approximation scheme for a class of high-dimensional posterior distributions
Yves F. Atchadé
213
11
0
26 May 2015
Multilevel Monte Carlo simulation of a diffusion with non-smooth drift
Azzouz Dermoune Daoud Ounaissi Nadji Rahmania
137
0
0
24 Apr 2015
Bayesian computation: a perspective on the current state, and sampling backwards and forwards
P. Green
K. Latuszyñski
Marcelo Pereyra
Christian P. Robert
564
22
0
04 Feb 2015
Theoretical guarantees for approximate sampling from smooth and log-concave densities
A. Dalalyan
837
582
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23 Dec 2014
Joint Segmentation and Deconvolution of Ultrasound Images Using a Hierarchical Bayesian Model based on Generalized Gaussian Priors
IEEE Transactions on Image Processing (TIP), 2014
Ningning Zhao
Adrian Basarab
Denis Kouamé
J. Tourneret
395
48
0
08 Dec 2014
Oscillation of adaptative Metropolis-Hasting and simulated annealing algorithms around penalized least squares estimator
A. Dermoune
Daoud Ounaissi
Nadji Rahmania
340
2
0
19 Mar 2014
Bayesian linear regression with sparse priors
I. Castillo
Johannes Schmidt-Hieber
A. van der Vaart
670
411
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04 Mar 2014
Proximal Markov chain Monte Carlo algorithms
Statistics and computing (Stat. Comput.), 2013
Marcelo Pereyra
755
197
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02 Jun 2013
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