1 citations · 2 across the 4 of their papers we have counts for
4 papers
Intermediate Gradient Methods with Relative Inexactness
Nikita Kornilov, Eduard Gorbunov, Mohammad Alkousa +3
This paper is devoted to first-order algorithms for smooth convex optimization with inexact gradients. Unlike the majority of the literature on this topic, we consider the setting…
Adaptive Methods or Variational Inequalities with Relatively Smooth and Reletively Strongly Monotone Operators
S. S. Ablaev, F. S. Stonyakin, M. S. Alkousa +1
The article is devoted to some adaptive methods for variational inequalities with relatively smooth and relatively strongly monotone operators. Starting from the recently proposed…
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…
Online Optimization Problems with Functional Constraints under Relative Lipschitz Continuity and Relative Strong Convexity Conditions
Oleg Savchuk, Fedor Stonyakin, Mohammad Alkousa +3
Recently, there were introduced important classes of relatively smooth, relatively continuous, and relatively strongly convex optimization problems. These concepts have significant…