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. 1810.07570
  4. Cited By
Efficient Proximal Mapping Computation for Unitarily Invariant Low-Rank
  Inducing Norms

Efficient Proximal Mapping Computation for Unitarily Invariant Low-Rank Inducing Norms

17 October 2018
Christian Grussler
Pontus Giselsson
ArXiv (abs)PDFHTML

Papers citing "Efficient Proximal Mapping Computation for Unitarily Invariant Low-Rank Inducing Norms"

4 / 4 papers shown
Title
Local Convergence of Proximal Splitting Methods for Rank Constrained
  Problems
Local Convergence of Proximal Splitting Methods for Rank Constrained Problems
Christian Grussler
Pontus Giselsson
61
5
0
11 Oct 2017
The Convex Geometry of Linear Inverse Problems
The Convex Geometry of Linear Inverse Problems
V. Chandrasekaran
Benjamin Recht
P. Parrilo
A. Willsky
211
1,341
0
03 Dec 2010
Penalty Decomposition Methods for Rank Minimization
Zhaosong Lu
Yong Zhang
106
92
0
31 Aug 2010
Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear
  Norm Minimization
Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization
Benjamin Recht
Maryam Fazel
P. Parrilo
419
3,771
0
28 Jun 2007
1