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A convergence framework for inexact nonconvex and nonsmooth algorithms and its applications to several iterations

A convergence framework for inexact nonconvex and nonsmooth algorithms and its applications to several iterations

Tao Sun
Hao Jiang
Lizhi Cheng
Wei Zhu
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Papers citing "A convergence framework for inexact nonconvex and nonsmooth algorithms and its applications to several iterations"

4 / 4 papers shown
Title
General Proximal Incremental Aggregated Gradient Algorithms: Better and Novel Results under General Scheme
General Proximal Incremental Aggregated Gradient Algorithms: Better and Novel Results under General Scheme
Tao Sun
Yuejiao Sun
Dongsheng Li
Qing Liao
35
16
0
11 Oct 2019
Inertial nonconvex alternating minimizations for the image deblurring
Inertial nonconvex alternating minimizations for the image deblurring
Tao Sun
R. Barrio
Marcos Rodríguez
Hao Jiang
21
12
0
27 Jul 2019
Distributed Inexact Successive Convex Approximation ADMM: Analysis-Part I
Distributed Inexact Successive Convex Approximation ADMM: Analysis-Part I
Sandeep Kumar
K. Rajawat
Daniel P. Palomar
29
4
0
21 Jul 2019
Smoothed Low Rank and Sparse Matrix Recovery by Iteratively Reweighted Least Squares Minimization
Smoothed Low Rank and Sparse Matrix Recovery by Iteratively Reweighted Least Squares Minimization
Canyi Lu
Zhouchen Lin
Shuicheng Yan
56
135
0
29 Jan 2014