Learning Curves and Benign Overfitting of Spectral Algorithms in Large Dimensions
arXiv:2604.23212v1 Announce Type: new
Abstract: Existing large-dimensional theory for spectral algorithms resolves either the optimally tuned point or the interpolation limit, but leaves the under-regularized regime unexplored. We study the learning c…