8 citations · 15 across the 25 of their papers we have counts for
3 papers · 1 filter
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…
A discrete Consensus-Based Global Optimization Method with Noisy Objective Function
Stefania Bellavia, Greta Malaspina
Consensus based optimization is a derivative-free particles-based method for the solution of global optimization problems. Several versions of the method have been proposed in the…
An investigation of stochastic trust-region based algorithms for finite-sum minimization
Stefania Bellavia, Benedetta Morini, Simone Rebegoldi
This work elaborates on the TRust-region-ish (TRish) algorithm, a stochastic optimization method for finite-sum minimization problems proposed by Curtis et al. in [Curtis2019, Curt…