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stat.CO2025
An hybrid stochastic Newton algorithm for logistic regression
Bernard Bercu, Luis Fredes, Eméric Gbaguidi
In this paper, we investigate a second-order stochastic algorithm for solving large-scale binary classification problems. We propose to make use of a new hybrid stochastic Newton a…
stat.ML2025
A stochastic gradient descent algorithm with random search directions
Eméric Gbaguidi
Stochastic coordinate descent algorithms are efficient methods in which each iterate is obtained by fixing most coordinates at their values from the current iteration, and approxim…