On perturbed proximal gradient algorithms

11 February 2014

Papers citing "On perturbed proximal gradient algorithms"

9 / 9 papers shown

Title
Proximal Interacting Particle Langevin Algorithms Paula Cordero Encinar F. R. Crucinio O. Deniz Akyildiz 61 5 0 20 Jun 2024
Interacting Particle Langevin Algorithm for Maximum Marginal Likelihood Estimation Ö. Deniz Akyildiz F. R. Crucinio Mark Girolami Tim Johnston Sotirios Sabanis 60 13 0 23 Mar 2023
A Proximal Stochastic Gradient Method with Progressive Variance Reduction Lin Xiao Tong Zhang ODL 140 738 0 19 Mar 2014
Convergence of the Wang-Landau algorithm G. Fort B. Jourdain E. Kuhn T. Lelièvre G. Stoltz 40 27 0 30 Jul 2012
Convergent Stochastic Expectation Maximization algorithm with efficient sampling in high dimension. Application to deformable template model estimation S. Allassonnière E. Kuhn MedIm 62 22 0 25 Jul 2012
Convergence Rates of Inexact Proximal-Gradient Methods for Convex Optimization Mark Schmidt Nicolas Le Roux Francis R. Bach 134 582 0 12 Sep 2011
Better Mini-Batch Algorithms via Accelerated Gradient Methods Andrew Cotter Ohad Shamir Nathan Srebro Karthik Sridharan ODL 96 313 0 22 Jun 2011
Randomized Smoothing for Stochastic Optimization John C. Duchi Peter L. Bartlett Martin J. Wainwright 97 282 0 22 Mar 2011
$High-dimensional Ising model selection using ${\ell_1}$-regularized logistic regression$ High-dimensional Ising model selection using ${\ell_1}$ -regularized logistic regression Pradeep Ravikumar Martin J. Wainwright John D. Lafferty 202 957 0 02 Oct 2010