Learning general Gaussian mixtures with efficient score matching

Sitan Chen, Vasilis Kontonis, Kulin Shah

We study the problem of learning mixtures of $k$ Gaussians in $d$ dimensions. We make no separation assumptions on the underlying mixture components: we only require that the covar…