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Learning Overcomplete Latent Variable Models through Tensor Methods
Published on Aug 20, 20153753 Views
We provide guarantees for learning latent variable models emphasizing on the overcomplete regime, where the dimensionality of the latent space exceeds the observed dimensionality. In particular, we co
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Chapter list
Learning Overcomplete Latent Variable Models through Tensor Methods00:00
Latent Variable Probabilistic Models00:06
Method-of-Moments (Spectral methods)00:20
Multiview Mixture Model00:34
Tensor Rank and Tensor Decomposition01:31
Our Setup02:01
Alternating minimization02:45
Main Result: Local Convergence03:08
Global Convergence k = O(d)04:03