1 citations · 2 across the 2 of their papers we have counts for
2 papers
math.OC2023★ 1 cited
Gradient-Type Method for Optimization Problems with Polyak-Lojasiewicz Condition: Relative Inexactness in Gradient and Adaptive Parameters Setting
Sergei M. Puchinin, Fedor S. Stonyakin
We consider minimization problems with the well-known Polya-Lojasievich condition and Lipshitz-continuous gradient. Such problem occurs in different places in machine learning and…
math.OC2022★ 1 cited
Stopping Rules for Gradient Methods for Non-Convex Problems with Additive Noise in Gradient
Boris T. Polyak, Ilia A. Kuruzov, Fedor S. Stonyakin
We study the gradient method under the assumption that an additively inexact gradient is available for, generally speaking, non-convex problems. The non-convexity of the objective…