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Seunghwan Park

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#machine learning Preprint Sep 2026

Sparse Regression Distilled from a Single Robust Fit

Robust linear fits can resist response contamination yet remain too dense or unstable for useful global explanations. We propose penalized distillation, which fits a smoothly clipped absolute deviation (SCAD) estimator to a robust initial estimator's empirical fitted surface along a safeguarded coordinate-descent path...

Woo-Jin Shin, Seunghwan Park · 0 citations

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