arXiv stat.ML
· Papers
Model-Agnostic FDR Control via Group Gaussian Mirror and Permutation SHAP
arXiv:2608.00989v1 Announce Type: new Abstract: Most FDR-controlled feature selection methods are designed for coordinate-wise hypotheses, where each feature has a single weight or importance score. This abstraction fails in sequential and grouped models, where one original feature is represented by a block of sub-feat