Fixed-rank matrix factorizations and Riemannian low-rank optimization

B. Mishra, G. Meyer, S. Bonnabel +1

Motivated by the problem of learning a linear regression model whose parameter is a large fixed-rank non-symmetric matrix, we consider the optimization of a smooth cost function de…