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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…
math.OC2024
Adaptive Variant of Frank-Wolfe Method for Relative Smooth Convex Optimization Problems
Alexander Vyguzov, Fedor Stonyakin
The paper introduces a new adaptive version of the Frank-Wolfe algorithm for relatively smooth convex functions. It is proposed to use the Bregman divergence other than half the sq…