A Variance Reducing Stochastic Proximal Method with Acceleration Techniques
Author:
Affiliation:
1. School of Mathematical Science, Zhejiang Normal University,Jinhua,China,321004
Publisher
Tsinghua University Press
Subject
Multidisciplinary
Link
http://xplorestaging.ieee.org/ielx7/5971803/10197185/10197197.pdf?arnumber=10197197
Reference21 articles.
1. A simple stochastic variance reduced algorithm with fast convergence rates;zhou;Proc 35th Int Conf Machine Learning,2018
2. Katyusha: The first direct acceleration of stochastic gradient methods;allen-zhu;J Mach Learn Res,2017
3. On the convergence of the iterates of “FISTA;chambolle;J Optim Theory Appl,2015
4. Introductory Lectures on Convex Optimization
5. New global algorithms for quadratic programming with a few negative eigenvalues based on alternative direction method and convex relaxation
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