ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1308.6774
  4. Cited By
Separable Approximations and Decomposition Methods for the Augmented
  Lagrangian

Separable Approximations and Decomposition Methods for the Augmented Lagrangian

30 August 2013
R. Tappenden
Peter Richtárik
Burak Büke
ArXivPDFHTML

Papers citing "Separable Approximations and Decomposition Methods for the Augmented Lagrangian"

11 / 11 papers shown
Title
Parallel coordinate descent for the Adaboost problem
Parallel coordinate descent for the Adaboost problem
Olivier Fercoq
ODL
65
11
0
07 Oct 2013
A Randomized Nonmonotone Block Proximal Gradient Method for a Class of
  Structured Nonlinear Programming
A Randomized Nonmonotone Block Proximal Gradient Method for a Class of Structured Nonlinear Programming
Zhaosong Lu
Lin Xiao
72
32
0
25 Jun 2013
On the Complexity Analysis of Randomized Block-Coordinate Descent
  Methods
On the Complexity Analysis of Randomized Block-Coordinate Descent Methods
Zhaosong Lu
Lin Xiao
83
254
0
21 May 2013
Accelerated Mini-Batch Stochastic Dual Coordinate Ascent
Accelerated Mini-Batch Stochastic Dual Coordinate Ascent
Shai Shalev-Shwartz
Tong Zhang
ODL
101
150
0
12 May 2013
Inexact Coordinate Descent: Complexity and Preconditioning
Inexact Coordinate Descent: Complexity and Preconditioning
R. Tappenden
Peter Richtárik
J. Gondzio
87
100
0
19 Apr 2013
Mini-Batch Primal and Dual Methods for SVMs
Mini-Batch Primal and Dual Methods for SVMs
Martin Takáč
A. Bijral
Peter Richtárik
Nathan Srebro
68
195
0
10 Mar 2013
Parallel Coordinate Descent Methods for Big Data Optimization
Parallel Coordinate Descent Methods for Big Data Optimization
Peter Richtárik
Martin Takáč
127
487
0
04 Dec 2012
Stochastic Dual Coordinate Ascent Methods for Regularized Loss
  Minimization
Stochastic Dual Coordinate Ascent Methods for Regularized Loss Minimization
Shai Shalev-Shwartz
Tong Zhang
181
1,033
0
10 Sep 2012
On the Linear Convergence of the Alternating Direction Method of
  Multipliers
On the Linear Convergence of the Alternating Direction Method of Multipliers
Mingyi Hong
Zhi-Quan Luo
78
720
0
20 Aug 2012
Iteration Complexity of Randomized Block-Coordinate Descent Methods for
  Minimizing a Composite Function
Iteration Complexity of Randomized Block-Coordinate Descent Methods for Minimizing a Composite Function
Peter Richtárik
Martin Takáč
91
770
0
14 Jul 2011
Parallel Coordinate Descent for L1-Regularized Loss Minimization
Parallel Coordinate Descent for L1-Regularized Loss Minimization
Joseph K. Bradley
Aapo Kyrola
Danny Bickson
Carlos Guestrin
97
309
0
26 May 2011
1