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Sparse Recovery via Partial Regularization: Models, Theory and
  Algorithms

Sparse Recovery via Partial Regularization: Models, Theory and Algorithms

23 November 2015
Zhaosong Lu
Xiaorui Li
ArXiv (abs)PDFHTML

Papers citing "Sparse Recovery via Partial Regularization: Models, Theory and Algorithms"

4 / 4 papers shown
Title
A Newton-CG based augmented Lagrangian method for finding a second-order
  stationary point of nonconvex equality constrained optimization with
  complexity guarantees
A Newton-CG based augmented Lagrangian method for finding a second-order stationary point of nonconvex equality constrained optimization with complexity guarantees
Chuan He
Zhaosong Lu
Ting Kei Pong
40
7
0
09 Jan 2023
Proximal Gradient Method with Extrapolation and Line Search for a Class
  of Nonconvex and Nonsmooth Problems
Proximal Gradient Method with Extrapolation and Line Search for a Class of Nonconvex and Nonsmooth Problems
Lei Yang
65
23
0
18 Nov 2017
A successive difference-of-convex approximation method for a class of
  nonconvex nonsmooth optimization problems
A successive difference-of-convex approximation method for a class of nonconvex nonsmooth optimization problems
Tianxiang Liu
Ting Kei Pong
Akiko Takeda
60
47
0
16 Oct 2017
Nonconvex penalties with analytical solutions for one-bit compressive
  sensing
Nonconvex penalties with analytical solutions for one-bit compressive sensing
Xiaolin Huang
Ming Yan
93
29
0
04 Jun 2017
1