provides general identification results for nonlinear models using a newly-defined generalized Kruskal rank - signal rank - of …

The low-rank matrix completion problem can be solved by Riemannian optimization on a fixed-rank manifold. However, a … drawback of the known approaches is that the rank parameter has to be fixed a priori. In this paper, we consider the … optimization problem on the set of bounded-rank matrices. We propose a Riemannian rank-adaptive method, which consists of fixed-rank …