Compact Factorization of Matrices Using Generalized Round-Rank

Pouya Pezeshkpour, Carlos Guestrin, Sameer Singh

Matrix factorization is a well-studied task in machine learning for compactly representing large, noisy data. In our approach, instead of using the traditional concept of matrix ra…