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GraphLab: A New Framework For Parallel Machine Learning


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

* Appears in Proceedings of the Twenty-Sixth Conference on Uncertainty in Artificial Intelligence (UAI2010) 

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Robust Combination of Local Controllers


Jan 10, 2013
Carlos E. Guestrin, Dirk Ormoneit

* Appears in Proceedings of the Seventeenth Conference on Uncertainty in Artificial Intelligence (UAI2001) 

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Distributed Planning in Hierarchical Factored MDPs


Dec 12, 2012
Carlos E. Guestrin, Geoffrey Gordon

* Appears in Proceedings of the Eighteenth Conference on Uncertainty in Artificial Intelligence (UAI2002) 

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Robust Probabilistic Inference in Distributed Systems


Jul 11, 2012
Mark Paskin, Carlos E. Guestrin

* Appears in Proceedings of the Twentieth Conference on Uncertainty in Artificial Intelligence (UAI2004) 

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Solving Factored MDPs with Continuous and Discrete Variables


Jul 11, 2012
Carlos E. Guestrin, Milos Hauskrecht, Branislav Kveton

* Appears in Proceedings of the Twentieth Conference on Uncertainty in Artificial Intelligence (UAI2004) 

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Near-optimal Nonmyopic Value of Information in Graphical Models


Jul 04, 2012
Andreas Krause, Carlos E. Guestrin

* Appears in Proceedings of the Twenty-First Conference on Uncertainty in Artificial Intelligence (UAI2005) 

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Distributed Parallel Inference on Large Factor Graphs


May 09, 2012
Joseph E. Gonzalez, Yucheng Low, Carlos E. Guestrin, David O'Hallaron

* Appears in Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence (UAI2009) 

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Efficient Probabilistic Inference with Partial Ranking Queries


Feb 14, 2012
Jonathan Huang, Ashish Kapoor, Carlos E. Guestrin


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