Stochastic Variance Reduced Gradient for Affine Rank Minimization Problem-Reference-Cited by-同舟云学术

Stochastic Variance Reduced Gradient for Affine Rank Minimization Problem

Published:2024-06-04 Issue:2 Volume:17 Page:1118-1144
ISSN:1936-4954
Container-title:SIAM Journal on Imaging Sciences
language:en
Short-container-title:SIAM J. Imaging Sci.

Author:

Han Ningning¹,Nie Juan²,Lu Jian³^ORCID,Ng Michael K.⁴^ORCID

Affiliation:

1. School of Mathematical Sciences, Tiangong University, Tianjin, 300387, China.

2. Shenzhen Key Laboratory of Advanced Machine Learning and Applications, School of Mathematical Sciences, Shenzhen University, Shenzhen, 518060, China.

3. Corresponding author. Shenzhen Key Laboratory of Advanced Machine Learning and Applications, School of Mathematical Sciences, Shenzhen University, Shenzhen, 518060, China.

4. Department of Mathematics, Hong Kong Baptist University, Kowloon Tong, Hong Kong.

Funder

Guandong Basic and Applied Research Foundation

Educational Commission of Guangdong Province of China

Guangdong Key Laboratory of Intelligent Information Processing

National Natural Science Foundation-Research Grants Council Joint Fund

Foundation for Distinguished Young Talents in Higher Education of Guangdong

Natural Science Foundation of Guangdong Province

National Natural Science Foundation of China

Research Grants Council, University Grants Committee

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Reference38 articles.

1. Truncated $l_{1-2}$ Models for Sparse Recovery and Rank Minimization

2. An Adaptive Correction Approach for Tensor Completion

3. A Corrected Tensor Nuclear Norm Minimization Method for Noisy Low-Rank Tensor Completion

4. PhaseLift: Exact and Stable Signal Recovery from Magnitude Measurements via Convex Programming

5. Optimum Co-Design for Spectrum Sharing between Matrix Completion Based MIMO Radars and a MIMO Communication System