# List-Decodable Mean Estimation via Iterative Multi-Filtering

Daniel Kongsgaard

NeurIPS, 2020.

EI

Abstract:

We study the problem of {\em list-decodable mean estimation} for bounded covariance distributions. Specifically, we are given a set $T$ of points in $\mathbb{R}^d$ with the promise that an unknown $\alpha$-fraction of points in $T$, where $0< \alpha < 1/2$, are drawn from an unknown mean and bounded covariance distribution $D$, and no a...More

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