Patrick Schwab

CXPlain: Causal Explanations for Model Interpretation under Uncertainty

2019 · arXiv (Cornell University)

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 …