arxiv
PublishedApril 7, 2026 at 4:00 AM
Spectral Path Regression: Directional Chebyshev Harmonics for Interpretable Tabular Learning
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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 and impose axis-aligned structure that is poorly ma
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