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Tensor Decompositions for Learning Latent Variable Models I
Simons Institute for the Theory of Computing
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Tensor Methods for Learning Latent Variable Models: Theory and Practice
Simons Institute for the Theory of Computing
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Tensor Decompositions for Estimating Latent Variable Models
Simons Institute for the Theory of Computing
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1:08:06
Tensor Decompositions for Learning Hidden Variable Models
Microsoft Research
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53:12
Tensor Decompositions for Learning Latent Variable Models II
Simons Institute for the Theory of Computing
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1:09:15
53:56
Learning Overcomplete Latent Variable Models through Tensor Power Method
Simons Institute for the Theory of Computing
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3:01
Blind Regression: Nonparametric Regression for Latent Variable Models
Dogyoon Song
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1:11:26
Tensor Decompositions: A Quick Tour of Illustrative Applications
Society for Industrial and Applied Mathematics (SIAM)
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32:47
Aravindan Vijayaraghavan: "Smoothed Analysis for Tensor Decompositions and Unsupervised Learning"
Institute for Pure & Applied Mathematics (IPAM)
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1:10:54
Tensor Decompositions: Uniqueness and Smoothed Analysis
Simons Institute for the Theory of Computing
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1:06:56
Ankur Moitra: "Tensor Decompositions and their Applications (Part 2/2)"
Institute for Pure & Applied Mathematics (IPAM)
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1:15:50