Holden Lee

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Today we talk about tensor decomposition, a general purpose tool for learning latent variable models. Then we switch gears and talk about a recent improvement of the topic modeling algorithm we saw in an earlier lecture. Tensor decomposition is the analog of spectral decomposition for tensors. The nice thing about eigenvalues/eigenvectors is that they exist(More)
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