However, the completion accuracy can be drastically different over different entries.

Informally, our main result may be stated as follows: Under any stochastic Riemannian Robbins-Monro method, the probability of converging to a strict saddle point (or a submanifold thereof) is zero.

AI/ML problems, and in each such case σ is assumed to be known .