Theo Würtzen

Adjustment Identification Distance: A gadjid for Causal Structure Learning

Evaluating graphs learned by causal discovery algorithms is difficult: The number of edges that differ between two graphs does not reflect how the graphs differ with respect to the identifying formulas they suggest for causal effects. We introduce a framework for developing causal distances between…