Provably convergent acceleration in factored gradient descent with applications in matrix sensing

no code implementations • 1 Jun 2018 • Tayo Ajayi, David Mildebrath, Anastasios Kyrillidis, Shashanka Ubaru, Georgios Kollias, Kristofer Bouchard

We present theoretical results on the convergence of \emph{non-convex} accelerated gradient descent in matrix factorization models with $\ell_2$-norm loss.

Quantum State Tomography