Causal Discovery under Scaled Noise: Identifiability and Robust Estimation
0 Abstract - Causal discovery aims to learn causal networks, i.e., directed acyclic graphs (DAGs), from observational data. Although the problem is non-identifiable in the most general form, we can achieve …
