1. Anandkumar, A., Foster, D. P., Hsu, D., Kakade, S., & Liu, Y. K. (2012a). A spectral algorithm for latent Dirichlet allocation. In P. L. Bartlett, F. C. N. Pereira, C. J. C. Burges, L. Bottou, & K. Q. Weinberger (Eds.), NIPS (pp. 926–934).
2. Anandkumar, A., Ge, R., Hsu, D., Kakade, S. M., & Telgarsky, M. (2012b). Tensor decompositions for learning latent variable models. arXiv:1210.7559 .
3. Anandkumar, A., Hsu, D., & Kakade, S. M. (2012c). A method of moments for mixture models and hidden Markov models. Journal of Machine Learning Research—Proceedings Track, 23, 33.1–33.34.
4. Bailly, R. (2011). Quadratic weighted automata: spectral algorithm and likelihood maximization. Journal of Machine Learning Research—Proceedings Track, 20, 147–163.
5. Bailly, R., Denis, F., & Ralaivola, L. (2009). Grammatical inference as a principal component analysis problem. In L. Bottou & M. Littman (Eds.), Proceedings of the 26th international conference on machine learning (pp. 33–40). Montreal: Omnipress.