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Latent variable / Gibbs sampling / Latent Dirichlet allocation / Bayesian network / Mixture model / Variable / Parallel computing / Latent class model / Variational Bayesian methods / Statistics / Statistical models / Latent variable model


Scalable Inference in Latent Variable Models ∗ Amr Ahmed, Mohamed Aly, Joseph Gonzalez, Shravan Narayanamurthy, Alexander Smola Yahoo! Research, Santa Clara, CA, USA
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Document Date: 2012-03-26 21:38:12


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Cambridge University Press / MIT Press / Temporal LDA / 3M / SIAM Journal / Yahoo! / /

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Jordan / United States / /

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naive consistent hashing protocol / Online Data / given server / web-scale inference problems / appropriate server-side processing / web applications / parallel algorithms / communication scheduling algorithm / particular server / lengthy chain / web-scale applications / synchronization algorithms / synchronization algorithm / server-side processing / web-scale data collections / combinatorial search problems / online data-processing / remote lock-request-update-send-unlock protocol / web-scale latent variable models / above algorithm / online setting / plain communication algorithm / large distributed systems / web-scale text corpus / sequential sampling algorithm / bandwidth-efficient communication protocol / target applications / web-scale settings / identifiable server / above algorithms / web-scale data sets / web-scale problems / indispensable tool / online algorithm / social networks / communications boundaries / large-scale web application using large number / consequence approximate inference algorithms / approximate inference algorithms / web-scale latent variable problems / sense-reversing barrier algorithm / improved protocol / web-scale data / web-page / /

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Cambridge University / MIT / National Academy of Sciences / Pittsburgh PA / Association for Computing Machinery / Department of Machine Learning / Pattern Analysis and Machine Intelligence / /

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Joseph Gonzalez / Tamas Sarlos / Amr Ahmed / M. Aly / V / Mohamed Aly / Alexander Smola / Yucheng Low / /

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ABSTRACT General / /

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New York / Washington / /

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IEEE Transactions on Pattern Analysis and Machine Intelligence / Machine Learning / Proceedings of the National Academy of Sciences / SIAM Journal on Computing / Journal of Machine Learning Research / /

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above algorithms / consequence approximate inference algorithms / RAM / bioinformatics / following algorithm / designing synchronization algorithms / remote lock-request-update-send-unlock protocol / substantially improved protocol / Machine Learning / sense-reversing barrier algorithm / synchronization algorithm / TCP/IP / plain communication algorithm / cryptography / following sequential sampling algorithm / naive consistent hashing protocol / communication protocol / Data Mining / caching / communication scheduling algorithm / even approximate inference algorithms / /

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