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stat.ML2025
Statistical Significance of Feature Importance Rankings
Jeremy Goldwasser, Giles Hooker
Feature importance scores are ubiquitous tools for understanding the predictions of machine learning models. However, many popular attribution methods suffer from high instability…
stat.ML2024
Stabilizing Estimates of Shapley Values with Control Variates
Jeremy Goldwasser, Giles Hooker
Shapley values are among the most popular tools for explaining predictions of blackbox machine learning models. However, their high computational cost motivates the use of sampling…