2024
Identifying Causal Changes Between Linear Structural Equation Models
UAI 2024poster
Learning the structures of structural equation models (SEMs) as directed acyclic graphs (DAGs) from data is crucial for representing causal relationships in various scientific domains. Instead of estimating individual DAG structures, it is often preferable to directly estimate changes in causal rela…