arXiv (OAI Expanded)
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Guaranteed Nonconvex Low-Rank Tensor Estimation via Scaled Gradient Descent
Tensors, which give a faithful and effective representation to deliver the intrinsic structure of multi-dimensional data, play a crucial role in an increasing number of signal processing and machine learning problems. However, tensor data are often accompanied by arbitrary signal corruptions, includ
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