2 papers
cs.LG2025
Benign Overfitting without Linearity: Neural Network Classifiers Trained by Gradient Descent for Noisy Linear Data
Spencer Frei, Niladri S. Chatterji, Peter L. Bartlett
Benign overfitting, the phenomenon where interpolating models generalize well in the presence of noisy data, was first observed in neural network models trained with gradient desce…
stat.ML2025
Benign Overfitting and the Geometry of the Ridge Regression Solution in Binary Classification
Alexander Tsigler, Luiz F. O. Chamon, Spencer Frei +1
In this work, we investigate the behavior of ridge regression in an overparameterized binary classification task. We assume examples are drawn from (anisotropic) class-conditional…