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math.OC2023
SLiSeS: Subsampled Line Search Spectral Gradient Method for Finite Sums
Stefania Bellavia, Nataša Krejić, Nataša Krklec Jerinkić +1
The spectral gradient method is known to be a powerful low-cost tool for solving large-scale optimization problems. In this paper, our goal is to exploit its advantages in the stoc…
math.OC2020
LSOS: Line-search Second-Order Stochastic optimization methods for nonconvex finite sums
Daniela di Serafino, Nataša Krejić, Nataša Krklec Jerinkić +1
We develop a line-search second-order algorithmic framework for minimizing finite sums. We do not make any convexity assumptions, but require the terms of the sum to be continuousl…