AINeutralarXiv – CS AI · 10h ago6/10
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Solve for the Hyperparameter, Skip the Search: Kolmogorov-Optimal Scaling Laws for Spline Regression
Researchers propose KORE (Kolmogorov-optimal Order-aware Resolution Estimation), a method that solves for optimal hyperparameters in spline regression analytically rather than through expensive grid search. The approach reduces computational cost by ~8x while matching exhaustive cross-validation performance across high-dimensional datasets.