4 citations · 7 across the 12 of their papers we have counts for
3 papers · 2 filters
CMA Light: a novel Minibatch Algorithm for large-scale non convex finite sum optimization
Corrado Coppola, Giampaolo Liuzzi, Laura Palagi
The supervised training of a deep neural network on a given dataset consists in the unconstrained minimization of the finite sum of continuously differentiable functions, commonly…
Worst case complexity bounds for linesearch-type derivative-free algorithms
Andrea Brilli, Morteza Kimiaei, Giampaolo Liuzzi +1
This paper is devoted to the analysis of worst case complexity bounds for linesearch-type derivative-free algorithms for the minimization of general non-convex smooth functions. We…
A clustering heuristic to improve a derivative-free algorithm for nonsmooth optimization
Manlio Gaudioso, Giampaolo Liuzzi, Stefano Lucidi
In this paper we propose an heuristic to improve the performances of the recently proposed derivative-free method for nonsmooth optimization CS-DFN. The heuristic is based on a clu…