2 papers
cs.LG2026
Architecture independent generalization bounds for overparametrized deep ReLU networks
Anandatheertha Bapu, Thomas Chen, Chun-Kai Kevin Chien +2
We prove that overparametrized neural networks are able to generalize with a test error that is independent of the level of overparametrization, and independent of the Vapnik-Cherv…
cs.LG2025
Zero loss guarantees and explicit minimizers for generic overparametrized Deep Learning networks
Thomas Chen, Andrew G. Moore
We determine sufficient conditions for overparametrized deep learning (DL) networks to guarantee the attainability of zero loss in the context of supervised learning, for the $\mat…