2 papers
math.OC2022
Gradient-Type Methods for Optimization Problems with Polyak-Łojasiewicz Condition: Early Stopping and Adaptivity to Inexactness Parameter
Ilya A. Kuruzov, Fedor S. Stonyakin, Mohammad S. Alkousa
Due to its applications in many different places in machine learning and other connected engineering applications, the problem of minimization of a smooth function that satisfies t…
math.OC2021
Sequential Subspace Optimization for Quasar-Convex Optimization Problems with Inexact Gradient
Ilya Kuruzov, Fedor Stonyakin
It is well-known that accelerated gradient first-order methods possess optimal complexity estimates for the class of convex smooth minimization problems. In many practical situatio…