This repo has implementations of different tensor decomposition algorithms for latent variable models e.g. GMM, LDA
These codes were used for baseline comparison in the following paper.
- Ray, Avik, et al. "The search problem in mixture models." The Journal of Machine Learning Research 18.1 (2017): 7547-7607.
The basic tensor decomposition algorithm based on robust tensor power iterations is described in the paper;
- Anandkumar, Animashree, et al. "Tensor decompositions for learning latent variable models." The Journal of Machine Learning Research 15.1 (2014): 2773-2832.