The distribution regression problem encompasses many important statistic...
We establish weak limits for the empirical entropy regularized optimal
t...
For a probability P in R^d its center outward distribution function
F_±,...
We present a novel kernel over the space of probability measures based o...
This work deals with the asymptotic distribution of both potentials and
...
The diffeomorphic registration framework enables to define an optimal
ma...
Based on the novel concept of multivariate center-outward quantiles
intr...
We prove a central limit theorem for the entropic transportation cost be...
This paper introduces the first statistically consistent estimator of th...
We prove a Central Limit Theorem for the empirical optimal transport cos...
Counterfactual frameworks have grown popular in explainable and fair mac...
This work is motivated by the study of local protein structure, which is...
Lipschitz constrained models have been used to solve specifics deep lear...
Optimal transport maps define a one-to-one correspondence between probab...
We consider the problem of optimal transportation with general cost betw...
We propose a new framework for robust binary classification, with Deep N...
We provide sufficient conditions under which the center-outward distribu...