Spectral Methods for Learning Latent Variable Models

Lecture 1: Tensor Decompositions for Learning Latent Variable Models I
Lecture 2: Tensor Decompositions for Learning Latent Variable Models II 


This series of talks is part of the Foundations of Machine Learning Boot Camp. Videos for each talk area will be available through the links above.

Speaker: Daniel Hsu, Columbia University