2 problems

A $k$-mixture of spherical Gaussians is a probability distribution formed by combining $k$ Gaussian components in which each covariance matrix is a scalar multiple of the identity.…

Let $n$ be the ambient dimension, let $\boldsymbol{\mu}\in\mathbb{R}^n$ be a $k$-sparse mean with $k\ll n^{1/2}$, and suppose samples from the identity-covariance Gaussian with mea…