Before revision: Deep Matrix Factorization (DMF) is an emerging approach to the problem of reconstructing a matrix from a subset of its entries . Recent works have established that gradient descent applied to a DMF model induces an implicit regularization on the rank of the recovered matrix.
After revision: Deep Matrix Factorization (DMF) is an emerging approach to the problem of matrix completion . Recent works have established that gradient descent applied to a DMF model induces an implicit regularization on the rank of the recovered matrix.