arXiv stat.ML
· Papers
Frugal, Flexible, Faithful: Causal Data Simulation via Frengression
arXiv:2508.01018v2 Announce Type: replace-cross Abstract: Machine learning has revitalized causal inference by combining flexible models and principled estimators, yet robust benchmarking and evaluation remain challenging with real-world data. In this work, we introduce frengression, a deep generative realization of th