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20222026
most citedOn the efficiency of Stochastic Quasi-Newton Methods for Deep Learning

2 citations · 3 across the 6 of their papers we have counts for

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Showing 2023Show all

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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…

math.OC2023

A non-monotone trust-region method with noisy oracles and additional sampling

Natasa Krejic, Natasa Krklec Jerinkic, Angeles Martinez +1

In this work, we introduce a novel stochastic second-order method, within the framework of a non-monotone trust-region approach, for solving the unconstrained, nonlinear, and non-c…