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Marginal Likelihoods for Distributed Parameter Estimation of Gaussian Graphical Models.

, , , and . IEEE Trans. Signal Process., 62 (20): 5425-5438 (2014)

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Marginal Likelihoods for Distributed Parameter Estimation of Gaussian Graphical Models., , , and . IEEE Trans. Signal Process., 62 (20): 5425-5438 (2014)Understanding the Limiting Factors of Topic Modeling via Posterior Contraction Analysis., , , , and . ICML, volume 32 of JMLR Workshop and Conference Proceedings, page 190-198. JMLR.org, (2014)Distributed principal component analysis on networks via directed graphical models., , and . ICASSP, page 2877-2880. IEEE, (2012)Distributed Learning of Gaussian Graphical Models via Marginal Likelihoods., , , and . AISTATS, volume 31 of JMLR Workshop and Conference Proceedings, page 39-47. JMLR.org, (2013)Learning Latent Variable Gaussian Graphical Models., , and . ICML, volume 32 of JMLR Workshop and Conference Proceedings, page 1269-1277. JMLR.org, (2014)Marginal likelihoods for distributed estimation of graphical model parameters., , , and . CAMSAP, page 73-76. IEEE, (2013)