2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.LG2026
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.ME2026
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…
stat.ML2026★ 2 cited
Wasserstein multivariate auto-regressive models for modeling distributional time series
Yiye Jiang, Jérémie Bigot
This paper is focused on the statistical analysis of data consisting of a collection of multiple series of probability measures that are indexed by distinct time instants and suppo…