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Arthur ChoiPh.D. StudentComputer Science Department University of California, Los Angeles aychoi(Shift-2)cs.ucla.edu |
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Born in Atlanta, I hung out in Ithaca, Now in Los Angeles. |
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I am a member of Adnan Darwiche's Automated Reasoning group.
Interests: probabilistic graphical models; approximate inference, particularly iterative belief propagation and related methods;
Relevant to my interests: counting; diagnosis and prognosis; logical reasoning; computability and complexity;
Less than relevant to my interests: cartoons; acoustic guitar;
Papers
Knot Pipatsrisawat, Akop Palyan, Mark Chavira, Arthur Choi, and Adnan Darwiche. Solving Weighted Max-SAT Problems in a Reduced Search Space: A Performance Analysis. To appear in Journal on Satisfiability, Boolean Modeling and Computation (JSAT), 2008.
Arthur Choi and Adnan Darwiche. Approximating the Partition Function by Deleting and then Correcting for Model Edges. To appear in Proceedings of the 24th Conference on Uncertainty in Artificial Intelligence (UAI), 2008. pdf
Arthur Choi and Adnan Darwiche. Focusing Generalizations of Belief Propagation on Targeted Queries. To appear in Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence (AAAI), 2008. pdf
Arthur Choi and Adnan Darwiche. Many-Pairs Mutual Information for Adding Structure to Belief Propagation Approximations. To appear in Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence (AAAI), 2008. pdf
Arthur Choi and Adnan Darwiche. Approximating the Partition Function by Deleting and then Correcting for Model Edges (Extended Abstract). Presented at NIPS Workshop on Approximate Bayesian Inference in Continuous/Hybrid Systems, 2007. pdf
Arthur Choi, Mark Chavira and Adnan Darwiche. Node Splitting: A Scheme for Generating Upper Bounds in Bayesian Networks. In Proceedings of the 23rd Conference on Uncertainty in Artificial Intelligence (UAI), pages 57-66, 2007. pdf
Arthur Choi and Adnan Darwiche. A Variational Approach for Approximating Bayesian Networks by Edge Deletion. In Proceedings of the 22nd Conference on Uncertainty in Artificial Intelligence (UAI), pages 80-89, 2006. pdf bib talk
Arthur Choi and Adnan Darwiche. An Edge Deletion Semantics for Belief Propagation and its Practical Impact on Approximation Quality. In Proceedings of the 21st National Conference on Artificial Intelligence (AAAI), pages 1107-1114, 2006. pdf bib talk
Arthur Choi, Hei Chan, and Adnan Darwiche. On Bayesian Network Approximation by Edge Deletion. In Proceedings of the 21st Conference on Uncertainty in Artificial Intelligence (UAI), pages 128-135, 2005. pdf bib
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