v1v2v3v4 (latest)

Proximal Markov chain Monte Carlo algorithms

2 June 2013

Papers citing "Proximal Markov chain Monte Carlo algorithms"

37 / 37 papers shown

Title
Entropy-Guided Sampling of Flat Modes in Discrete Spaces Pinaki Mohanty Riddhiman Bhattacharya Ruqi Zhang 423 0 0 05 May 2025
Diffusion at Absolute Zero: Langevin Sampling Using Successive Moreau Envelopes [conference paper] Andreas Habring Alexander Falk Thomas Pock 106 0 0 03 Feb 2025
Proximal Interacting Particle Langevin Algorithms Paula Cordero Encinar F. R. Crucinio O. Deniz Akyildiz 104 5 0 20 Jun 2024
Approximate Primal-Dual Fixed-Point based Langevin Algorithms for Non-smooth Convex Potentials Ziruo Cai Jinglai Li Xiaoqun Zhang 21 1 0 10 Apr 2023
Non-asymptotic analysis of Langevin-type Monte Carlo algorithms Shogo H. Nakakita 71 0 0 22 Mar 2023
Posterior sampling with CNN-based, Plug-and-Play regularization with applications to Post-Stack Seismic Inversion M. Izzatullah T. Alkhalifah J. Romero M. Corrales N. Luiken M. Ravasi 67 2 0 30 Dec 2022
Posterior-Variance-Based Error Quantification for Inverse Problems in Imaging Dominik Narnhofer Andreas Habring M. Holler Thomas Pock 69 14 0 23 Dec 2022
Bregman Proximal Langevin Monte Carlo via Bregman--Moreau Envelopes Tim Tsz-Kit Lau Han Liu 122 7 0 10 Jul 2022
Optimal Scaling for the Proximal Langevin Algorithm in High Dimensions Natesh S. Pillai 56 2 0 21 Apr 2022
Gradient-Based Markov Chain Monte Carlo for Bayesian Inference With Non-Differentiable Priors Jacob Vorstrup Goldman Torben Sell Sumeetpal S. Singh 38 8 0 16 Mar 2021
Bayesian imaging using Plug & Play priors: when Langevin meets Tweedie R. Laumont Valentin De Bortoli Andrés Almansa J. Delon Alain Durmus Marcelo Pereyra 96 112 0 08 Mar 2021
Solving Inverse Problems by Joint Posterior Maximization with Autoencoding Prior Mario González Andrés Almansa Pauline Tan 79 31 0 02 Mar 2021
Truncated Log-concave Sampling with Reflective Hamiltonian Monte Carlo Apostolos Chalkis Vissarion Fisikopoulos Marios Papachristou Elias P. Tsigaridas 64 8 0 25 Feb 2021
Bayesian model selection for unsupervised image deconvolution with structured Gaussian priors Benjamin Harroué J. Giovannelli Marcelo Pereyra UQCV UD 34 2 0 13 Oct 2020
Structured Logconcave Sampling with a Restricted Gaussian Oracle Y. Lee Ruoqi Shen Kevin Tian 76 72 0 07 Oct 2020
Composite Logconcave Sampling with a Restricted Gaussian Oracle Ruoqi Shen Kevin Tian Y. Lee 56 10 0 10 Jun 2020
Oracle Lower Bounds for Stochastic Gradient Sampling Algorithms Niladri S. Chatterji Peter L. Bartlett Philip M. Long 41 8 0 01 Feb 2020
The reproducing Stein kernel approach for post-hoc corrected sampling Liam Hodgkinson R. Salomone Fred Roosta 72 27 0 25 Jan 2020
Proximal Langevin Algorithm: Rapid Convergence Under Isoperimetry Andre Wibisono 135 49 0 04 Nov 2019
The Randomized Midpoint Method for Log-Concave Sampling Ruoqi Shen Y. Lee 117 118 0 12 Sep 2019
Efficient MCMC Sampling with Dimension-Free Convergence Rate using ADMM-type Splitting Maxime Vono Daniel Paulin Arnaud Doucet 113 37 0 23 May 2019
On Transformations in Stochastic Gradient MCMC Soma Yokoi Takuma Otsuka Issei Sato 44 1 0 07 Mar 2019
Asymptotically exact data augmentation: models, properties and algorithms Maxime Vono N. Dobigeon P. Chainais 66 27 0 15 Feb 2019
Split-and-augmented Gibbs sampler - Application to large-scale inference problems Maxime Vono N. Dobigeon P. Chainais 61 54 0 16 Apr 2018
Analysis of Langevin Monte Carlo via convex optimization Alain Durmus Szymon Majewski B. Miasojedow 87 222 0 26 Feb 2018
Langevin Monte Carlo and JKO splitting Espen Bernton 88 80 0 23 Feb 2018
Log-concave sampling: Metropolis-Hastings algorithms are fast Raaz Dwivedi Yuansi Chen Martin J. Wainwright Bin Yu 94 255 0 08 Jan 2018
Estimating linear functionals of a sparse family of Poisson means O. Collier A. Dalalyan 79 3 0 05 Dec 2017
Efficient Bayesian computation by proximal Markov chain Monte Carlo: when Langevin meets Moreau Alain Durmus Eric Moulines Marcelo Pereyra 88 176 0 22 Dec 2016
Stochastic Quasi-Newton Langevin Monte Carlo Umut Simsekli Roland Badeau A. Cemgil G. Richard BDL 70 62 0 10 Feb 2016
A Moreau-Yosida approximation scheme for a class of high-dimensional posterior distributions Yves F. Atchadé 67 11 0 26 May 2015
Langevin and Hamiltonian based Sequential MCMC for Efficient Bayesian Filtering in High-dimensional Spaces F. Septier G. Peters 84 58 0 22 Apr 2015
Proximal Algorithms in Statistics and Machine Learning Nicholas G. Polson James G. Scott Brandon T. Willard 330 150 0 11 Feb 2015
Bayesian computation: a perspective on the current state, and sampling backwards and forwards P. Green K. Latuszyñski Marcelo Pereyra Christian P. Robert 127 21 0 04 Feb 2015
Theoretical guarantees for approximate sampling from smooth and log-concave densities A. Dalalyan 116 516 0 23 Dec 2014
Joint Segmentation and Deconvolution of Ultrasound Images Using a Hierarchical Bayesian Model based on Generalized Gaussian Priors Ningning Zhao Adrian Basarab Denis Kouamé J. Tourneret 91 47 0 08 Dec 2014
A shrinkage-thresholding Metropolis adjusted Langevin algorithm for Bayesian variable selection Amandine Schreck G. Fort Sylvain Le Corff Eric Moulines 158 43 0 19 Dec 2013