A proximal-proximal majorization-minimization algorithm for nonconvex rank regression problems

P Tang, C Wang, B Jiang - IEEE Transactions on Signal …, 2023 - ieeexplore.ieee.org
In this paper, we introduce a proximal-proximal majorization-minimization (PPMM) algorithm
for nonconvex rank regression problems. The basic idea of the algorithm is to apply the …

[引用][C] A Proximal-Proximal Majorization-Minimization Algorithm for Nonconvex Rank Regression Problems

P Tang, C Wang, B Jiang - IEEE Transactions on Signal …, 2023 - ui.adsabs.harvard.edu
A Proximal-Proximal Majorization-Minimization Algorithm for Nonconvex Rank Regression
Problems - NASA/ADS Now on home page ads icon ads Enable full ADS view NASA/ADS A …

A Proximal-Proximal Majorization-Minimization Algorithm for Nonconvex Rank Regression Problems

P Tang, C Wang, B Jiang - IEEE Transactions on Signal Processing, 2023 - dl.acm.org
In this paper, we introduce a proximal-proximal majorization-minimization (PPMM) algorithm
for nonconvex rank regression problems. The basic idea of the algorithm is to apply the …