2 papers
cs.AI2021
Counterfactual Instances Explain Little
Adam White, Artur d'Avila Garcez
In many applications, it is important to be able to explain the decisions of machine learning systems. An increasingly popular approach has been to seek to provide \emph{counterfac…
cs.AI2019
Measurable Counterfactual Local Explanations for Any Classifier
Adam White, Artur d'Avila Garcez
We propose a novel method for explaining the predictions of any classifier. In our approach, local explanations are expected to explain both the outcome of a prediction and how tha…