2020
Robust and Heavy-Tailed Mean Estimation Made Simple, via Regret Minimization
NeurIPS 2020poster
We study the problem of estimating the mean of a distribution in high dimensions when either the samples are adversarially corrupted or the distribution is heavy-tailed. Recent developments in robust statistics have established efficient and (near) optimal procedures for both settings. However,…