Understanding Learning Overcomplete Latent Variable Models Through Tensor Power Method
Exploring Learning Overcomplete Latent Variable Models Through Tensor Power Method reveals several interesting facts. Rong Ge, Microsoft Research Semidefinite Optimization, Approximation and Applications ...
Key Takeaways about Learning Overcomplete Latent Variable Models Through Tensor Power Method
- Incorporating
- In many applications, we face the challenge of
- Daniel Hsu, Columbia University https://simons.berkeley.edu/talks/daniel-hsu-01-27-2017-2 Foundations of Machine
- ... a tractable way of
- Sham Kakade, Microsoft Research New England Spectral Algorithms: From Theory to Practice ...
Detailed Analysis of Learning Overcomplete Latent Variable Models Through Tensor Power Method
Sham Kakade, Microsoft Research New England Animashree Anandkumar, UC Irvine Spectral Algorithms: From Theory to Practice ... Daniel Hsu, Columbia University https://simons.berkeley.edu/talks/daniel-hsu-01-27-2017-1 Foundations of Machine
Guest Lecturer Rong Ge.
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