Papers Daphne Koller Publications Research Areas (all) Publication Type Years (all) BN Bayesian Networks    HM Hybrid Models LGM Learning Graphical Models    MN Markov Networks RPM Richer Probabilistic Models    RP Robotics and Perception SL Supervised Learning    TPM Temporal Probabilistic Models J Journal Article C Conference Paper B Book Ch Book Chapter T Technical Report PhD PhD Disseration 1985 - 1989 1990 - 1994 1995 - 1999 2000 - 2004 2005 - 2009 2010 - 2014 Type Reference Download topics: BN HM LGM MN RPM RP SL TPM 2009 C   M.P. Kumar and D. Koller (2009). "MAP Estimation of Semi-Metric MRFs via Hierarchical Graph Cuts." Proceedings of the Twenty-fifth Conference on Uncertainty in AI (UAI). bib topics:          MN             C   S. Gould, F. Amat, and D. Koller (2009). "Alphabet SOUP: A Framework for Approximate Energy Minimization." Proceedings of the Conference on Computer Vision and Pattern Recognition (CVPR). bib topics:          MN    RP       B   D. Koller and N. Friedman (2009). Probabilistic Graphical Models: Principles and Techniques. edited by . MIT Press. bib topics: BN    LGM MN             2008 C   G. Heitz, G. Elidan, B. Packer, and D. Koller (2008). "Shape-Based Object Localization for Descriptive Classification." Advances in Neural Information Processing Systems (NIPS 2008). [newer version, 2009] bib topics:          MN    RP       C   V. Ganapathi, D. Vickrey, J. Duchi, and D. Koller (2008). "Constrained Approximate Maximum Entropy Learning." Proceedings of the Twenty-fourth Conference on Uncertainty in AI (UAI). bib topics:       LGM MN             C   J. Duchi, S. Gould, and D. Koller (2008). "Projected Subgradient Methods for Learning Sparse Gaussians." Proceedings of the Twenty-fourth Conference on Uncertainty in AI (UAI). bib topics:    HM LGM MN             C   G. Elidan, B. Packer, G. Heitz, and D. Koller (2008). "Convex Point Estimation using Undirected Bayesian Transfer Hierarchies." Proceedings of the Twenty-fourth Conference on Uncertainty in AI (UAI). bib topics:       LGM MN       SL    2007 C   J. Duchi, D. Tarlow, G. Elidan, and D. Koller (2007). "Using Combinatorial Optimization within Max-Product Belief Propagation." Advances in Neural Information Processing Systems (NIPS 2006). bib topics:          MN             C   A. Battle, G. Chechik, and D. Koller (2007). "Temporal and Cross-Subject Probabilistic Models for fMRI Prediction Task." Advances in Neural Information Processing Systems (NIPS 2006). bib topics:          MN          TPM C   S.-I. Lee, V. Ganapathi, and D. Koller (2007). "Efficient Structure Learning of Markov Networks using L1-Regularization." Advances in Neural Information Processing Systems (NIPS 2006). bib topics:       LGM MN             Ch   D. Koller, N. Friedman, L. Getoor, and B. Taskar (2007). "Graphical Models in a Nutshell." In L. Getoor and B. Taskar, editors, Introduction to Statistical Relational Learning. bib topics: BN       MN             Ch   B. Taskar, P. Abbeel, M.-F. Wong, and D. Koller (2007). "Relational Markov Networks." In L. Getoor and B. Taskar, editors, Introduction to Statistical Relational Learning. bib topics:       LGM MN RPM          2006 J   P. Abbeel, D. Koller, and A.Y. Ng (2006). "Learning Factor Graphs in Polynomial Time & Sample Complexity." Journal of Machine Learning Research, 7, 1743-1788. [older version, 2005] bib topics:       LGM MN             C   G. Elidan, I. McGraw, and D. Koller (2006). "Residual Belief Propagation: Informed Scheduling for Asynchronous Message Passing." Proceedings of the Twenty-second Conference on Uncertainty in AI (UAI). bib topics:          MN             C   G. Elidan, G. Heitz, and D. Koller (2006). "Learning Object Shape: From Drawings to Images." Proceedings of the Conference on Computer Vision and Pattern Recognition (CVPR). bib topics:          MN    RP       C   J. Rodgers, D. Anguelov, H.-C. Pang, and D. Koller (2006). "Object Pose Detection in Range Scan Data." Proceedings of the Conference on Computer Vision and Pattern Recognition (CVPR). bib topics:          MN    RP       2005 C   P. Abbeel, D. Koller, and A.Y. Ng (2005). "Learning Factor Graphs in Polynomial Time & Sample Complexity." Proceedings of the Twenty-first Conference on Uncertainty in AI (UAI) (pp. 1-9). [newer version, 2006] bib/abs topics:       LGM MN             C   D. Anguelov, B. Taskar, V. Chatalbashev, D. Koller, D. Gupta, G. Heitz, and A.Y. Ng (2005). "Discriminative Learning of Markov Random Fields for Segmentation of 3D Range Data." IEEE International Conference on Computer Vision and Pattern Recognition (CVPR). bib/abs topics:          MN    RP       C   D. Anguelov, D. Koller, P. Srinivasan, S. Thrun, H.-C. Pang, and J. Davis (2005). "The correlated correspondence algorithm for unsupervised registration of nonrigid surfaces." Advances in Neural Information Processing Systems (NIPS 2004). bib/abs topics:          MN    RP
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