2 papers
cs.LG2025
Stochastic Adaptive Gradient Descent Without Descent
Jean-François Aujol, Jérémie Bigot, Camille Castera
We introduce a new adaptive step-size strategy for convex optimization with stochastic gradient that exploits the local geometry of the objective function only by means of a first-…
stat.ME2024
Regularized estimation of Monge-Kantorovich quantiles for spherical data
Bernard Bercu, Jérémie Bigot, Gauthier Thurin
Tools from optimal transport (OT) theory have recently been used to define a notion of quantile function for directional data. In practice, regularization is mandatory for applicat…