2023
Explaining Predictive Uncertainty with Information Theoretic Shapley Values
NeurIPS 2023poster
Researchers in explainable artificial intelligence have developed numerous methods for helping users understand the predictions of complex supervised learning models. By contrast, explaining the $\textit{uncertainty}$ of model outputs has received relatively little attention. We adapt the popular Sh…