iLOCO estimates the importance of pairwise and higher-order feature interactions in any predictive model and provides distribution-free confidence intervals via data splitting or minipatch ensembles.
A review of uncertainty quantification in deep learning: Techniques, applications and challenges
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iLOCO: Distribution-Free Inference for Feature Interactions
iLOCO estimates the importance of pairwise and higher-order feature interactions in any predictive model and provides distribution-free confidence intervals via data splitting or minipatch ensembles.