Highly Adaptive Principal Component Regression
arXiv:2602.10613v2 Announce Type: replace-cross
Abstract: The Highly Adaptive Lasso (HAL) is a nonparametric regression method that achieves almost dimension-free convergence rates under minimal smoothness assumptions, but its implementation can be co…