Conditional Generative Models for Counterfactual Explanations

Arnaud Van Looveren, Janis Klaise, Giovanni Vacanti +1

Counterfactual instances offer human-interpretable insight into the local behaviour of machine learning models. We propose a general framework to generate sparse, in-distribution c…