3 papers
math.OC2026
A Direction Adaptation Evaluation Strategy for Noisy Derivative-Free Optimization
Morteza Kimiaei, Mahsa Yousefi
In this paper, we develop a direction adaptation evolution strategy (DAES) -- a new MAES-type method -- for noisy derivative-free optimization, designed to reconcile the population…
math.OC2026
A Projected Stochastic Gradient Method for Finite-Sum Problems with Linear Equality Constraints
Natasa Krklec Jerinkic, Benedetta Morini, Mahsa Yousefi
A stochastic gradient method for finite-sum minimization subject to deterministic linear constraints is proposed and analyzed. The procedure presented adapts the projected gradient…
math.OC2025
Fully stochastic trust-region methods with Barzilai-Borwein steplengths
Stefania Bellavia, Benedetta Morini, Mahsa Yousefi
We investigate stochastic gradient methods and stochastic counterparts of the Barzilai-Borwein steplengths and their application to finite-sum minimization problems. Our proposal i…