Joris M. Mooij

Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions

2017 · arXiv (Cornell University)

An important goal common to domain adaptation and causal inference is to make accurate predictions when the distributions for the source (or training) domain(s) and target (or test) domain(s) differ. In many cases, these different …

$σ$-Maximal Ancestral Graphs

2025 · UvA-DARE (University of Amsterdam)

Maximal Ancestral Graphs (MAGs) provide an abstract representation of Directed Acyclic Graphs (DAGs) with latent (selection) variables. These graphical objects encode information about ancestral relations and d-separations of the DAGs they represent. This abstract representation …