2 citations · 3 across the 6 of their papers we have counts for
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cs.LG2023★ 1 cited
Majorization-Minimization for sparse SVMs
Alessandro Benfenati, Emilie Chouzenoux, Giorgia Franchini +5
Several decades ago, Support Vector Machines (SVMs) were introduced for performing binary classification tasks, under a supervised framework. Nowadays, they often outperform other…
cs.LG2022★ 2 cited
On the efficiency of Stochastic Quasi-Newton Methods for Deep Learning
Mahsa Yousefi, Angeles Martinez
While first-order methods are popular for solving optimization problems that arise in large-scale deep learning problems, they come with some acute deficiencies. To diminish such s…