1 citations · 2 across the 2 of their papers we have counts for
3 papers
Adaptive Variant of the Frank-Wolfe Algorithm for Convex Optimization Problems
G. V. Aivazian, F. S. Stonyakin, D. A. Pasechnyuk +2
Some variant of the Frank-Wolfe method for convex optimization problems with adaptive selection of the step parameter corresponding to information about the smoothness of the objec…
Subgradient methods for non-smooth optimization problems with some relaxation of sharp minimum
S. S. Ablaev, D. V. Makarenko, F. S. Stonyakin +2
In this paper we propose a generalized condition for a sharp minimum, somewhat similar to the inexact oracle proposed recently by Devolder-Glineur-Nesterov. The proposed approach m…
Adaptive Gradient-type Methods for Convex Optimization Problems with Relative Accuracy and Sharp Minimum
Fedor S. Stonyakin, Seydamet S. Ablaev, Inna V. Baran
In this paper, we consider gradient-type methods for convex positively homogeneous optimization problems with relative accuracy. An analogue of the accelerated universal gradient-t…