SVRG for a non-convex problem using graduated optimization algorithm-Reference-Cited by-同舟云学术

SVRG for a non-convex problem using graduated optimization algorithm

Published:2018-01-12 Issue:1 Volume:34 Page:153-165
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Chen Li¹,Zhou Shuisheng¹,Zhang Zhuan¹

Affiliation:

1. School of Mathematics and Statistics, Xidian University, Xi’an, China

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference40 articles.

1. Allen-Zhu Z. and Hazan E. , Variance reduction for faster nonconvex optimization, In Proceedings of The 33rd International Conference on Machine Learning, 2016, pp. 699–707.

2. A fuzzy discrete harmony search algorithm applied to annual cost reduction in radial distribution systems;Ameli;Engineering Optimization,2016

3. An adaptive gradient descent-based local search in memetic algorithm applied to optimal controller design;Arab;Information Sciences,2015

4. Bertsekas D.P. , Nonlinear programming, Athena scientific Belmont, 1999.

5. Blake A. and Zisserman A. , Visual reconstruction, MIT Press, 1987.

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An Anti-Main-Lobe Jamming Algorithm for Airborne Early Warning Radar based on APC-SVRGD Joint Optimization;Journal of Systems Engineering and Electronics;2022-02

2. Pulmonary involvement in acquired immunodeficiency syndrome-associated Kaposi’s sarcoma: a descriptive analysis of thin-section manifestations in 29 patients;Quantitative Imaging in Medicine and Surgery;2021-02