Guaranteed Noisy CP Tensor Recovery via Riemannian Optimization on the Segre Manifold

Ke Xu, Yuefeng Han

Recovering a low-CP-rank tensor from noisy linear measurements is a central challenge in high-dimensional data analysis, with applications spanning tensor PCA, tensor regression, a…