1 citations · 1 across the 3 of their papers we have counts for
Showing 2026Show all
2 papers · 1 filter
stat.ML2026
A Bregman Perspective on Classification and Regression Trees
Mathias Bourel
Classification and Regression Trees (CART) constitute one of the most influential paradigms in statistical learning. Although a variety of impurity measures have been proposed for…
stat.ML2026
Geometric Domain Adaptation via Optimal Transport for Linear Regression in R^2
Brian Britos, Mathias Bourel
Optimal Transport has become recently a powerful method for domain adaptation by aligning source and target distributions. We study a supervised domain adaptation problem where sou…