Paper Info
Title
A Unified Alternating Direction Method of Multipliers by Majorization Minimization.
Abstract
Accompanied with the rising popularity of compressed sensing, the Alternating Direction Method of Multipliers (ADMM) has become the most widely used solver for linearly constrained convex problems with separable objectives. In this work, we observe that many existing ADMMs update the primal variable by minimizing different majorant functions with their convergence proofs given case by case. Inspir...
Year
DOI
Venue
2018
10.1109/TPAMI.2017.2689021
IEEE Transactions on Pattern Analysis and Machine Intelligence
Keywords
DocType
Volume
Convergence,Jacobian matrices,Minimization,Compressed sensing,Computer vision,Radio frequency,Standards
Journal
40
Issue
ISSN
Citations 
3
0162-8828
17
PageRank 
References 
Authors
0.57
18
4
Name
Order
Citations
PageRank
Canyi Lu167315.91
Jiashi Feng22165140.81
Shuicheng Yan376725.71
Zhouchen Lin44805203.69