Aumann-SHAP: The Geometry of Counterfactual Interaction Explanations in Machine Learning

Adam Belahcen, Stéphane Mussard

We introduce Aumann-SHAP, an interaction-aware framework that decomposes counterfactual transitions by restricting the model to a local hypercube connecting baseline and counterfac…