Supervised Quantile Normalization for Low-rank Matrix Approximation

Marco Cuturi, Olivier Teboul, Jonathan Niles-Weed +1

Low rank matrix factorization is a fundamental building block in machine learning, used for instance to summarize gene expression profile data or word-document counts. To be robust…