Rethinking Distance Metrics for Counterfactual Explainability

Joshua Nathaniel Williams, Anurag Katakkar, Hoda Heidari +1

Counterfactual explanations have been a popular method of post-hoc explainability for a variety of settings in Machine Learning. Such methods focus on explaining classifiers by gen…