Efficient Tensor Decomposition

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Authors Aravindan Vijayaraghavan arXiv ID 2007.15589 Category cs.DS: Data Structures & Algorithms Cross-listed cs.LG Citations 3 Venue arXiv.org Last Checked 4 months ago
Abstract
This chapter studies the problem of decomposing a tensor into a sum of constituent rank one tensors. While tensor decompositions are very useful in designing learning algorithms and data analysis, they are NP-hard in the worst-case. We will see how to design efficient algorithms with provable guarantees under mild assumptions, and using beyond worst-case frameworks like smoothed analysis.
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