Chih‐Yu Chang

Accumulated Aggregated D-Optimal Designs for Estimating Main Effects in Black-Box Models

2025 · ArXiv.org

Estimating how individual input variables affect the output of a black-box model is a central task in explainable machine learning. However, existing methods suffer from two key limitations: sensitivity to out-of-distribution (OOD) evaluations, which arises …