Hamed Ajorlou

BUILD WITH PRECISION: BOTTOM-UP INFERENCE OF LINEAR DAGS

Learning the structure of directed acyclic graphs (DAGs) from observational data is a central problem in causal discovery, statistical signal processing, and machine learning. Under a linear Gaussian structural equation model (SEM) with equal noise variances, the problem is identifiable and we show…