Spectral Learning on Matrices and Tensors

by Jean Kossaifi, Majid Janzamin, Rong Ge

The authors of this monograph survey recent progress in using spectral methods including matrix and tensor decomposition techniques to learn many popular latent variable models. With careful implementation, tensor-based methods can run efficiently in practice, and in many cases they are the only algorithms with provable guarantees on running time and sample complexity. The focus is on a special type of tensor decomposition called CP decomposition,...

• Format: Paperback
• Language: English
• ISBN: 1680836404
• ISBN13: 9781680836400
• Release Date: November 2019
• Publisher: Now Publishers
• Length: 156 Pages
• Weight: 0.51 lbs.
• Dimensions: 0.3" x 6.1" x 9.2"