Robust and Heavy-Tailed Mean Estimation Made Simple, via Regret Minimization

Neural Information Processing Systems 

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.

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