How Hard Is Robust Mean Estimation?

Robust mean estimation is the problem of estimating the mean $mu mathbb{R}^d$ of a $d$-dimensional distribution $D$ from a list of independent samples, an $epsilon$-fraction of which have been arbitrarily corrupted by a malicious adversary. Recent algorithmic progress has resulted in the first polynomial-time algorithms which achieve emp...More