On the Batch Size Selection in Stochastic Gradient Methods Using No-Replacement Sampling

Marco Boresta, Alberto De Santis, Stefano Lucidi

Recent stochastic gradient methods that have appeared in the literature base their efficiency and global convergence properties on a suitable control of the variance of the gradien…