Causal discovery can be computationally demanding for large numbers of variables. If we
only wish to estimate the causal effects on a small subset of target variables, we might not …

Identifying the causal pathways of unfairness is a critical objective in improving policy design
and algorithmic decision-making. Prior work in causal fairness analysis often requires …

We address the challenge of causal discovery in structural equation models with additive
noise without imposing additional assumptions on the underlying data-generating process …