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Yuetian Luo

2 accepted papers

2022

Provable Second-Order Riemannian Gauss-Newton Method for Low-Rank Tensor Estimation ‖

ICASSP 2022accepted

In this paper, we consider the estimation of a low Tucker rank tensor from a number of noisy linear measurements. We propose a Riemannian Gauss-Newton (RGN) method with fast implementations for low Tucker rank tensor estimation. Different from the generic (super)linear convergence guarantee of RGN i…

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