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. 0912.4571
  4. Cited By
Fast Alternating Linearization Methods for Minimizing the Sum of Two
  Convex Functions

Fast Alternating Linearization Methods for Minimizing the Sum of Two Convex Functions

23 December 2009
D. Goldfarb
Shiqian Ma
K. Scheinberg
ArXivPDFHTML

Papers citing "Fast Alternating Linearization Methods for Minimizing the Sum of Two Convex Functions"

14 / 14 papers shown
Title
A General Continuous-Time Formulation of Stochastic ADMM and Its
  Variants
A General Continuous-Time Formulation of Stochastic ADMM and Its Variants
Chris Junchi Li
42
0
0
22 Apr 2024
Stochastic Modified Equations for Continuous Limit of Stochastic ADMM
Stochastic Modified Equations for Continuous Limit of Stochastic ADMM
Xiang Zhou
Huizhuo Yuan
C. J. Li
Qingyun Sun
28
6
0
07 Mar 2020
Efficient Optimization Algorithms for Robust Principal Component
  Analysis and Its Variants
Efficient Optimization Algorithms for Robust Principal Component Analysis and Its Variants
Shiqian Ma
N. Aybat
20
51
0
09 Jun 2018
Camera-trap images segmentation using multi-layer robust principal
  component analysis
Camera-trap images segmentation using multi-layer robust principal component analysis
Jhony-Heriberto Giraldo-Zuluaga
Alexander Gómez
Augusto Salazar
A. Díaz-Pulido
27
31
0
27 Jan 2017
Randomized Low-Rank Dynamic Mode Decomposition for Motion Detection
Randomized Low-Rank Dynamic Mode Decomposition for Motion Detection
N. Benjamin Erichson
C. Donovan
29
68
0
11 Dec 2015
Decomposition into Low-rank plus Additive Matrices for
  Background/Foreground Separation: A Review for a Comparative Evaluation with
  a Large-Scale Dataset
Decomposition into Low-rank plus Additive Matrices for Background/Foreground Separation: A Review for a Comparative Evaluation with a Large-Scale Dataset
T. Bouwmans
A. Sobral
S. Javed
Soon Ki Jung
E. Zahzah
39
330
0
04 Nov 2015
Adaptive Smoothing Algorithms for Nonsmooth Composite Convex
  Minimization
Adaptive Smoothing Algorithms for Nonsmooth Composite Convex Minimization
Quoc Tran-Dinh
21
28
0
01 Sep 2015
ROML: A Robust Feature Correspondence Approach for Matching Objects in A
  Set of Images
ROML: A Robust Feature Correspondence Approach for Matching Objects in A Set of Images
Kui Jia
Tsung-Han Chan
Zinan Zeng
Shenghua Gao
G. Wang
Tianzhu Zhang
Yi Ma
33
36
0
31 Mar 2014
Flexible Parallel Algorithms for Big Data Optimization
Flexible Parallel Algorithms for Big Data Optimization
F. Facchinei
Simone Sagratella
G. Scutari
43
30
0
11 Nov 2013
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
51
720
0
20 Aug 2012
PRISMA: PRoximal Iterative SMoothing Algorithm
PRISMA: PRoximal Iterative SMoothing Algorithm
Francesco Orabona
Andreas Argyriou
Nathan Srebro
53
36
0
11 Jun 2012
Alternating Direction Methods for Latent Variable Gaussian Graphical
  Model Selection
Alternating Direction Methods for Latent Variable Gaussian Graphical Model Selection
Shiqian Ma
Lingzhou Xue
H. Zou
60
101
0
06 Jun 2012
Alternating Linearization for Structured Regularization Problems
Alternating Linearization for Structured Regularization Problems
Xiaodong Lin
Minh Pham
A. Ruszczynski
36
27
0
31 Dec 2011
Structured Sparsity via Alternating Direction Methods
Structured Sparsity via Alternating Direction Methods
Zhiwei Qin
D. Goldfarb
48
77
0
04 May 2011
1