Spectral Path Regression: Directional Chebyshev Harmonics for Interpretable Tabular Learning
arXiv:2604.04091v1 Announce Type: new
Abstract: Classical approximation bases such as Chebyshev polynomials provide principled and interpretable representations, but their multivariate tensor-product constructions scale exponentially with dimension an…