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Convergence Rates of Inexact Proximal-Gradient Methods for Convex
  Optimization

Convergence Rates of Inexact Proximal-Gradient Methods for Convex Optimization

12 September 2011
Mark Schmidt
Nicolas Le Roux
Francis R. Bach
ArXivPDFHTML

Papers citing "Convergence Rates of Inexact Proximal-Gradient Methods for Convex Optimization"

23 / 73 papers shown
Title
Non-smooth Variable Projection
Non-smooth Variable Projection
Aleksandr Aravkin
Dmitriy Drusvyatskiy
50
8
0
19 Jan 2016
Proximal gradient method for huberized support vector machine
Proximal gradient method for huberized support vector machine
Yangyang Xu
I. Akrotirianakis
A. Chakraborty
8
25
0
30 Nov 2015
Stop Wasting My Gradients: Practical SVRG
Stop Wasting My Gradients: Practical SVRG
Reza Babanezhad
Mohamed Osama Ahmed
Alim Virani
Mark Schmidt
Jakub Konecný
Scott Sallinen
17
134
0
05 Nov 2015
Consistent Learning by Composite Proximal Thresholding
Consistent Learning by Composite Proximal Thresholding
P. Combettes
Saverio Salzo
S. Villa
35
14
0
17 Apr 2015
From Averaging to Acceleration, There is Only a Step-size
From Averaging to Acceleration, There is Only a Step-size
Nicolas Flammarion
Francis R. Bach
50
138
0
07 Apr 2015
Composite convex minimization involving self-concordant-like cost
  functions
Composite convex minimization involving self-concordant-like cost functions
Quoc Tran-Dinh
Yen-Huan Li
V. Cevher
34
19
0
04 Feb 2015
First order algorithms in variational image processing
First order algorithms in variational image processing
Martin Burger
Alex Sawatzky
Gabriele Steidl
38
82
0
13 Dec 2014
Memory Bounded Deep Convolutional Networks
Memory Bounded Deep Convolutional Networks
Maxwell D. Collins
Pushmeet Kohli
40
172
0
03 Dec 2014
Group Regularized Estimation under Structural Hierarchy
Group Regularized Estimation under Structural Hierarchy
Yiyuan She
Zhifeng Wang
He Jiang
56
47
0
17 Nov 2014
Predictive support recovery with TV-Elastic Net penalty and logistic
  regression: an application to structural MRI
Predictive support recovery with TV-Elastic Net penalty and logistic regression: an application to structural MRI
Mathieu Dubois
F. Hadj-Selem
Tommy Löfstedt
M. Perrot
C. Fischer
V. Frouin
Edouard Duchesnay
37
18
0
21 Jul 2014
Gradient Sliding for Composite Optimization
Gradient Sliding for Composite Optimization
Guanghui Lan
51
67
0
04 Jun 2014
Incremental Majorization-Minimization Optimization with Application to
  Large-Scale Machine Learning
Incremental Majorization-Minimization Optimization with Application to Large-Scale Machine Learning
Julien Mairal
79
317
0
18 Feb 2014
Fast X-ray CT image reconstruction using the linearized augmented
  Lagrangian method with ordered subsets
Fast X-ray CT image reconstruction using the linearized augmented Lagrangian method with ordered subsets
Hung Nien
Jeffrey A. Fessler
48
62
0
18 Feb 2014
Practical Inexact Proximal Quasi-Newton Method with Global Complexity
  Analysis
Practical Inexact Proximal Quasi-Newton Method with Global Complexity Analysis
K. Scheinberg
Xiaocheng Tang
47
81
0
26 Nov 2013
Minimizing Finite Sums with the Stochastic Average Gradient
Minimizing Finite Sums with the Stochastic Average Gradient
Mark Schmidt
Nicolas Le Roux
Francis R. Bach
117
1,244
0
10 Sep 2013
Accelerated Proximal Stochastic Dual Coordinate Ascent for Regularized
  Loss Minimization
Accelerated Proximal Stochastic Dual Coordinate Ascent for Regularized Loss Minimization
Shai Shalev-Shwartz
Tong Zhang
ODL
60
462
0
10 Sep 2013
Composite Self-Concordant Minimization
Composite Self-Concordant Minimization
Quoc Tran-Dinh
Anastasios Kyrillidis
V. Cevher
49
94
0
13 Aug 2013
Efficient Sparse Group Feature Selection via Nonconvex Optimization
Efficient Sparse Group Feature Selection via Nonconvex Optimization
Shuo Xiang
Xiao Tong
Jieping Ye
58
57
0
23 May 2012
Supervised Feature Selection in Graphs with Path Coding Penalties and
  Network Flows
Supervised Feature Selection in Graphs with Path Coding Penalties and Network Flows
Julien Mairal
Bin Yu
53
44
0
20 Apr 2012
Fast projections onto mixed-norm balls with applications
Fast projections onto mixed-norm balls with applications
S. Sra
53
29
0
06 Apr 2012
Structured sparsity through convex optimization
Structured sparsity through convex optimization
Francis R. Bach
Rodolphe Jenatton
Julien Mairal
G. Obozinski
84
323
0
12 Sep 2011
A General Framework for Structured Sparsity via Proximal Optimization
A General Framework for Structured Sparsity via Proximal Optimization
Andreas Argyriou
Luca Baldassarre
Jean Morales
Massimiliano Pontil
44
21
0
26 Jun 2011
Convex and Network Flow Optimization for Structured Sparsity
Convex and Network Flow Optimization for Structured Sparsity
Julien Mairal
Rodolphe Jenatton
G. Obozinski
Francis R. Bach
62
109
0
11 Apr 2011
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