Francisco J. Cazorla

Practical do-Shapley Explanations with Estimand-Agnostic Causal Inference

Among explainability techniques, SHAP stands out as one of the most popular, but often overlooks the causal structure of the problem. In response, do-SHAP employs interventional queries, but its reliance on estimands hinders its practical application. To address this problem, we propose the use of e…