1 citations · 1 across the 2 of their papers we have counts for
2 papers
math.OC2025
A Fully Adaptive Frank-Wolfe Algorithm for Relatively Smooth Problems and Its Application to Centralized Distributed Optimization
A. A. Vyguzov, F. S. Stonyakin
We study the Frank-Wolfe algorithm for constrained optimization problems with relatively smooth objectives. Building upon our previous work, we propose a fully adaptive variant of…
math.OC2024★ 1 cited
Accelerated Bregman gradient methods for relatively smooth and relatively Lipschitz continuous minimization problems
O. S. Savchuk, M. S. Alkousa, A. S. Shushko +4
In this paper, we propose some accelerated methods for solving optimization problems under the condition of relatively smooth and relatively Lipschitz continuous functions with an…