A Spectral Algorithm for Latent Tree Graphical Models

@inproceedings{Parikh2011ASA,
  title={A Spectral Algorithm for Latent Tree Graphical Models},
  author={Ankur P. Parikh and Le Song and Eric P. Xing},
  booktitle={ICML},
  year={2011}
}
Latent variable models are powerful tools for probabilistic modeling, and have been successfully applied to various domains, such as speech analysis and bioinformatics. However, parameter learning algorithms for latent variable models have predominantly relied on local search heuristics such as expectation maximization (EM). We propose a fast, local-minimum-free spectral algorithm for learning latent variable models with arbitrary tree topologies, and show that the joint distribution of the… CONTINUE READING
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