Learnability of high-dimensional targets by two-parameter models and gradient flow

Dmitry Yarotsky

Advances in Neural Information Processing Systems 37 (NeurIPS 2024) Main Conference Track

We explore the theoretical possibility of learning $d$-dimensional targets with $W$-parameter models by gradient flow (GF) when $W

10.52202/079017-2512