Skip to yearly menu bar Skip to main content


Poster

Learning high-dimensional targets by two-parameter models and gradient flow

Dmitry Yarotsky


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

Live content is unavailable. Log in and register to view live content