4 citations · 4 across the 2 of their papers we have counts for
3 papers
stat.ML2024
Demographic parity in regression and classification within the unawareness framework
Vincent Divol, Solenne Gaucher
This paper explores the theoretical foundations of fair regression under the constraint of demographic parity within the unawareness framework, where disparate treatment is prohibi…
math.ST2021★ 4 cited
A short proof on the rate of convergence of the empirical measure for the Wasserstein distance
Vincent Divol
We provide a short proof that the Wasserstein distance between the empirical measure of a n-sample and the estimated measure is of order n^-(1/d), if the measure has a lower and up…
math.ST2020
Minimax adaptive estimation in manifold inference
Vincent Divol
We focus on the problem of manifold estimation: given a set of observations sampled close to some unknown submanifold , one wants to recover information about the geometry of $M…