2 papers
math.NA2026
Introduction to optimization methods for training SciML models
Alena KopaniÄáková, Elisa Riccietti
Optimization is central to both modern machine learning (ML) and scientific machine learning (SciML), yet the structure of the underlying optimization problems differs substantiall…
math.OC2025
A multilevel stochastic regularized first-order method with application to finite sum minimization
Filippo Marini, Margherita Porcelli, Elisa Riccietti
In this paper, we propose a multilevel stochastic framework for the solution of nonconvex unconstrained optimization problems. The proposed approach uses random regularized first-o…