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Mathematics / Jacobi method / Gauss–Seidel method / Normal distribution / Gibbs sampling / Covariance matrix / Matrix / Gaussian function / Gaussian process / Statistics / Numerical analysis / Numerical linear algebra


Analyzing Hogwild Parallel Gaussian Gibbs Sampling Matthew J. Johnson EECS, MIT
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Document Date: 2013-12-25 14:25:37

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City

Asuncion / Lauderdale / /

Company

SIAM Journal / Neural Information Processing Systems / Cambridge University Press / /

Country

Jordan / /

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IndustryTerm

processor-local linear systems / inference algorithms / probabilistic inference algorithms / local processors / stochastic gradient descent algorithm / parallel processors / overall algorithm / parallel computing architectures / parallelizeable algorithms / linear systems / iterative systems / pipeline processing / /

Organization

Cambridge University / AΣHog / MIT / /

Person

Alan S. Willsky / J. Penadés / Nicholas Ruozzi / Albert Parker / Colin Fox / J. Castel V. Migallón / Sekhar Tatikonda / James Saunderson / Matthew J. Johnson / /

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Florida / /

PublishedMedium

Machine Learning / Journal of Machine Learning Research / The Journal of Machine Learning Research / /

Technology

AD-LDA sampling algorithm / splitting-based algorithms / overall algorithm / artificial intelligence / Sampling inference algorithms / 1 Algorithm / http / Machine Learning / SGD algorithm / shared memory / stochastic gradient descent algorithm / probabilistic inference algorithms / Message-Passing Algorithms / pdf / /

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http /

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