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Danny Bickson

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GraphLab: A New Framework For Parallel Machine Learning

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Aug 09, 2014
Yucheng Low, Joseph E. Gonzalez, Aapo Kyrola, Danny Bickson, Carlos E. Guestrin, Joseph Hellerstein

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Distributed GraphLab: A Framework for Machine Learning in the Cloud

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Apr 26, 2012
Yucheng Low, Joseph Gonzalez, Aapo Kyrola, Danny Bickson, Carlos Guestrin, Joseph M. Hellerstein

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Efficient Multicore Collaborative Filtering

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Aug 17, 2011
Yao Wu, Qiang Yan, Danny Bickson, Yucheng Low, Qing Yang

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GraphLab: A Distributed Framework for Machine Learning in the Cloud

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Jul 05, 2011
Yucheng Low, Joseph Gonzalez, Aapo Kyrola, Danny Bickson, Carlos Guestrin

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Kernel Belief Propagation

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May 27, 2011
Le Song, Arthur Gretton, Danny Bickson, Yucheng Low, Carlos Guestrin

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Parallel Coordinate Descent for L1-Regularized Loss Minimization

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May 26, 2011
Joseph K. Bradley, Aapo Kyrola, Danny Bickson, Carlos Guestrin

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Inference with Multivariate Heavy-Tails in Linear Models

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Mar 21, 2011
Danny Bickson, Carlos Guestrin

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GraphLab: A New Framework for Parallel Machine Learning

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Jun 25, 2010
Yucheng Low, Joseph Gonzalez, Aapo Kyrola, Danny Bickson, Carlos Guestrin, Joseph M. Hellerstein

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Fixing Convergence of Gaussian Belief Propagation

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Jul 04, 2009
Jason K. Johnson, Danny Bickson, Danny Dolev

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A Gaussian Belief Propagation Solver for Large Scale Support Vector Machines

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Oct 09, 2008
Danny Bickson, Elad Yom-Tov, Danny Dolev

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