The Impact of Machine Learning Uncertainty on the Robustness of Counterfactual Explanations

Leonidas Christodoulou, Chang Sun

Counterfactual explanations are widely used to interpret machine learning predictions by identifying minimal changes to input features that would alter a model's decision. However,…