Highly Adaptive Principal Component Regression

Mingxun Wang, Alejandro Schuler, Mark van der Laan +1

The Highly Adaptive Lasso (HAL) is a nonparametric regression method that achieves almost dimension-free convergence rates under minimal smoothness assumptions, but its implementat…