List-Decodable Mean Estimation via Iterative Multi-Fitering

Daniel Kongsgaard
Daniel Kongsgaard

NeurIPS 2020, 2020.

Cited by: 0|Bibtex|Views29|Links

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

Code:

Data:

Your rating :
0

 

Tags
Comments