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
- Daniel Hsu, Columbia University https://simons.berkeley.edu/talks/daniel-hsu-01-27-2017-1 Foundations of Machine
- Talk at Strata 2015 at the Hardcore Data Science Track.
- Daniel Hsu, Columbia University https://simons.berkeley.edu/talks/daniel-hsu-01-27-2017-2 Foundations of Machine
- In many applications, we face the challenge of
- Guest Lecturer Rong Ge.
Detailed Analysis of Learning Overcomplete Latent Variable Models Through Tensor Power Method
Incorporating Sham Kakade, Microsoft Research New England Animashree Anandkumar, UC Irvine Spectral Algorithms: From Theory to Practice ...
... a tractable way of
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