- Efficient Probabilistic Inference with Partial Ranking Queries
Jonathan Huang, Ashish Kapoor, and Carlos Ernesto Guestrin
The 27th Conference on Uncertainty in Artificial Intelligence (UAI 2011), July, 2011. Details |
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- Learning Hierarchical Riffle Independent Groupings from Rankings
Jonathan Huang and Carlos Ernesto Guestrin
27th International Conference on Machine Learning, June, 2010. Details |
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- Focused Belief Propagation for Query-Specific Inference
Anton Chechetka and Carlos Ernesto Guestrin
International Conference on Artificial Intelligence and Statistics (AISTATS), May, 2010. Details |
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- Riffled Independence for Ranked Data
Jonathan Huang and Carlos Ernesto Guestrin
Advances in Neural Information Processing Systems (NIPS 2009) , December, 2009. Details |
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- Fourier Theoretic Probabilistic Inference over Permutations
Jonathan Huang, Carlos Ernesto Guestrin, and Leonidas Guibas
Journal of Machine Learning (JMLR), Vol. 10, May, 2009, pp. 997-1070. Details |
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- Exploiting Probabilistic Independence for Permutations
Jonathan Huang, Carlos Ernesto Guestrin, Xiaoye Jiang, and Leonidas Guibas
Artificial Intelligence and Statistics (AISTATS 2009), April, 2009. Details |
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- Learning Thin Junction Trees via Graph Cuts
Dafna Shahaf, Anton Chechetka, and Carlos Ernesto Guestrin
Artificial Intelligence and Statistics (AISTATS), April, 2009. Details |
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- Inference for Distributions over the Permutation Group
Jonathan Huang, Carlos Ernesto Guestrin, Leonidas Guibas, Jonathan Huang, Carlos Ernesto Guestrin, and Leonidas Guibas
tech. report CMU-ML-08-108, Machine Learning Department, Carnegie Mellon University, May, 2008
Details |
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- Efficient Principled Learning of Thin Junction Trees
Anton Chechetka and Carlos Ernesto Guestrin
Advances in Neural Information Processing Systems (NIPS 2007), December, 2007. Details |
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- Efficient Inference for Distributions on Permutations
Jonathan Huang, Carlos Ernesto Guestrin, and Leonidas Guibas
Advances in Neural Information Processing Systems (NIPS 2007), 2007. Details |
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- Distributed Inference in Dynamical Systems
Stanislav Funiak, Carlos Ernesto Guestrin, Mark Paskin, and Rahul Sukthankar
Advances in Neural Information Processing Systems 19, December, 2006. Details |
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- Distributed Localization of Networked Cameras
Stanislav Funiak, Carlos Ernesto Guestrin, Rahul Sukthankar, and Mark Paskin
Fifth International Conference on Information Processing in Sensor Networks (IPSN'06), April, 2006, pp. 34 - 42. Details |
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- Robust Probabilistic Filtering in Distributed Systems
Stanislav Funiak, Carlos Ernesto Guestrin, Mark Paskin, and Rahul Sukthankar
tech. report CMU-CALD-05-111, Machine Learning Department, Carnegie Mellon University, 2005
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