2019
Outlier-Robust High-Dimensional Sparse Estimation via Iterative Filtering
NeurIPS 2019poster
We study high-dimensional sparse estimation tasks in a robust setting where a constant fraction of the dataset is adversarially corrupted. Specifically, we focus on the fundamental problems of robust sparse mean estimation and robust sparse PCA. We give the first practically viable robust estimators…