Abstract:
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Many problems can be formulated as recovering a spectral learning of tensors. Although an increasingly common task, it remains a challenging problem because of the lack of tools for perturbation analysis similar to those for matrices. In this talk, I will describe some recent results towards a general treatment of these problems.
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