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Tensor Decompositions for Learning Hidden Variable Models
Tensor Decompositions for Learning Latent Variable Models I
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Daniel Hsu, Columbia University Foundations of Machine Animashree Anandkumar, UC Irvine Spectral Algorithms: From Theory to Practice ... Moses Charikar, Princeton University Semidefinite Optimization, Approximation and Applications ... Many measurements or signals are multidimensional, or Luke Oeding, Auburn University Algebraic Geometry Boot Camp
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Last Updated: June 13, 2026
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