1. Achlioptas, D., McSherry, F.: On spectral learning of mixtures of distributions. Eighteenth Annual Conference on Learning Theory, pp. 458–469. Springer, Bertinoro (2005)
2. Anandkumar, A., Chaudhuri, K., Hsu, D., Kakade, S.M., Song, L., Zhang, T.: Spectral methods for learning multivariate latent tree structure. Adv. Neural Inf. Process. Syst. 24, 2025–2033 (2011)
3. Anandkumar, A., Foster, D.P., Hsu, D., Kakade, S.M., Liu, Y.K.: A spectral algorithm for latent Dirichlet allocation. Adv. Neural Inf. Process. Syst. 25, 917–925 (2012)
4. Anandkumar, A., Foster, D.P., Hsu, D., Kakade, S.M., Liu, Y.K.: Two SVDs suffice: spectral decompositions for probabilistic topic models and latent Dirichlet allocation (2012). arXiv:1204.6703v1
5. Anandkumar, A., Ge, R., Hsu, D., Kakade, S.M., Telgarsky, M.: Tensor decompositions for learning latent variable models. J. Mach. Learn. Res. (2014). To appear.