Accelerated Meta-Algorithm for Convex Optimization Problems

被引：0

作者：

A. V. Gasnikov

D. M. Dvinskikh

P. E. Dvurechensky

D. I. Kamzolov

V. V. Matyukhin

D. A. Pasechnyuk

N. K. Tupitsa

A. V. Chernov

机构：

[1] Moscow Institute of Physics and Technology (National Research University),

[2] Kharkevich Institute for Information Transmission Problems,undefined

[3] Russian Academy of Sciences,undefined

[4] Weierstrass Institute for Applied Analysis and Stochastics,undefined

来源：

Computational Mathematics and Mathematical Physics | 2021年 / 61卷

关键词：

convex optimization; accelerated proximal method; tensor methods; inexact oracle; sliding; catalyst;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

引用

页码：17 / 28

页数：11

共 7 条

[1]

Lin H.(2017)Catalyst acceleration for first-order convex optimization: From theory to practice J. Mach. Learn. Res. 18 7854-7907

[2]

Mairal J.(2013)An accelerated hybrid proximal extragradient method for convex optimization and its implications to second-order methods SIAM J. Optim. 23 1092-1125

[3]

Harchaoui Z.(2017)Efficiency of the accelerated coordinate descent method on structured optimization problems SIAM J. Optim. 27 110-123

[4]

Monteiro R. D. C.(undefined)undefined undefined undefined undefined-undefined

[5]

Svaiter B. F.(undefined)undefined undefined undefined undefined-undefined

[6]

Nesterov Yu.(undefined)undefined undefined undefined undefined-undefined

[7]

Stich S. U.(undefined)undefined undefined undefined undefined-undefined

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