Large Scale Machine Learning and Other Animals

Showing posts with label GaBP. Show all posts
Showing posts with label GaBP. Show all posts
Saturday, August 25, 2012

On convergence of Gaussian BP

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I got the following question from Gregor Gorjanc , our man in Lubliyana: Dear Danny, We have spend quite some time trying out severa...
Saturday, January 28, 2012

Animal breeding with GraphLab?

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Believe it or not, there is unlimited supply of real life interesting problems that can be solved usign GraphLab! Here is an email I got thi...
Saturday, August 6, 2011

The quiet rise of Gaussian Belief Propagation (GaBP)

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Gaussian Belief Propagation is an inference method on a Gaussian graphical model which is related to solving a linear system of equations, o...
Saturday, June 4, 2011

Python wrapper for running GraphLab GaBP linear solver

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I got from Daniel Zerbino , a postdoc in UCSC, who is working on smoothing genomic sequencing measurements with constraints, a Python script...
Wednesday, June 1, 2011

On the performance of Graphlab for large scale linear solver

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I just got some interesting performance numbers from Yun Teng, a master student in UCSB, who tried GraphLab GaBP implementation of a linear...
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Danny Bickson
6 years ago, along with my collaborators at Carnegie Mellon University, I have started the GraphLab large scale open source project, which is a framework for implementing machine learning algorithms in parallel and distributed settings. When the project became popular, we have decided to raise money to expand the project and provide an industry grade solution. Specifically I wrote the award wining collaborative filtering toolkit to GraphLab which is widely deployed today, and helped us win top places at ACM KDD CUP 2011, ACM KDD CUP 2012 among other competitions. Checkout our website: http://dato.com
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