4 citations · 4 across the 2 of their papers we have counts for
2 papers
stat.ML2025
What is a good matching of probability measures? A counterfactual lens on transport maps
Lucas De Lara, Luca Ganassali
Coupling probability measures lies at the core of many problems in statistics and machine learning, from domain adaptation to transfer learning and causal inference. Yet, even when…
math.ST2021★ 4 cited
A Consistent Extension of Discrete Optimal Transport Maps for Machine Learning Applications
Lucas de Lara, Alberto González-Sanz, Jean-Michel Loubes
Optimal transport maps define a one-to-one correspondence between probability distributions, and as such have grown popular for machine learning applications. However, these maps a…