arXiv cs.LG
· Papers
Spectral-Transport Stability and Benign Overfitting in Interpolating Learning
arXiv:2604.08625v2 Announce Type: replace-cross Abstract: We develop a theoretical framework for generalization in the interpolating regime of statistical learning. The central question is why highly overparameterized estimators can attain zero empirical risk while still achieving nontrivial predictive accuracy, and ho