Robust PCA and Collaborative Filtering: Rejecting Outliers, Identifying Manipulators

Principal Component Analysis is one of the most widely used techniques for dimensionality reduction. Nevertheless, it is plagued by sensitivity to outliers; finding robust analogs, particularly for hi