no code implementations • NeurIPS 2021 • Aditya Vardhan Varre, Loucas Pillaud-Vivien, Nicolas Flammarion
Motivated by the recent successes of neural networks that have the ability to fit the data perfectly \emph{and} generalize well, we study the noiseless model in the fundamental least-squares setup.