2019
CXPlain: Causal Explanations for Model Interpretation under Uncertainty
NeurIPS 2019poster
Feature importance estimates that inform users about the degree to which given inputs influence the output of a predictive model are crucial for understanding, validating, and interpreting machine-learning models. However, providing fast and accurate estimates of feature importance for high-dimensio…