1 citations · 1 across the 2 of their papers we have counts for
4 papers
Kantorovich Distance via Spanning Trees: Properties and Algorithms
Jérémie Bigot, Luis Fredes
We study optimal transport between probability measures supported on the same finite metric space, where the ground cost is a distance induced by a weighted connected graph. Buildi…
High-dimensional ridge regression with random features for non-identically distributed data with a variance profile
Issa-Mbenard Dabo, Jérémie Bigot
Random feature ridge regression is often analyzed in the high-dimensional regime under the homogeneous sampling model , where the vectors have iid entries a…
High-dimensional analysis of ridge regression for non-identically distributed data with a variance profile
Jérémie Bigot, Issa-Mbenard Dabo, Camille Male
High-dimensional linear regression has been thoroughly studied in the context of independent and identically distributed data. We propose to investigate high-dimensional regression…
Fréchet random forests for metric space valued regression with non euclidean predictors
Louis Capitaine, Jérémie Bigot, Rodolphe Thiébaut +1
Random forests are a statistical learning method widely used in many areas of scientific research because of its ability to learn complex relationships between input and output var…