A Scale-Invariant Sorting Criterion to Find a Causal Order in Additive Noise Models

Alexander G. Reisach, Myriam Tami, Christof Seiler +2

Additive Noise Models (ANMs) are a common model class for causal discovery from observational data and are often used to generate synthetic data for causal discovery benchmarking.…