Loop Corrections to the Training and Generalization Errors of Random Feature Models
arXiv:2604.12827v1 Announce Type: cross
Abstract: We investigate random feature models in which neural networks sampled from a prescribed initialization ensemble are frozen and used as random features, with only the readout weights optimized. Adopting…