Efficient Asynchronous Semi-Stochastic Block Coordinate Descent Methods for Large-Scale SVD

Efficient Asynchronous Semi-Stochastic Block Coordinate Descent Methods for Large-Scale SVD

Eigenvector computation such as Singular Value Decomposition (SVD) is one of the most fundamental problems in machine learning, optimization and numerical linear algebra. In recent years, many stochastic variance reduction algorithms and randomized coordinate descent algorithms have been developed t...

Full description

Bibliographic Details
Main Authors: Fanhua Shang, Zhihui Zhang, Yuanyuan Liu, Hongying Liu, Jing Xu
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Singular value decomposition
semi-stochastic gradient
randomized coordinate descent
asynchronous parallelism
image compression
Online Access:https://ieeexplore.ieee.org/document/9471835/

Internet

https://ieeexplore.ieee.org/document/9471835/

Similar Items