C. Ambroise

Contrast-Free ICA and Causal Inference via Wasserstein Distances to the Gaussian

This work defines empirical plug-in estimators and prove distribution-free uniform convergence under finite-moment assumptions, before detailing three practical solvers: a Picard-style orthogonal optimizer for ICA, an exhaustive dynamic program for causal order search, and a greedy order search variant.