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Daphne Koller Publications
Research Areas (all)Publication TypeYears (all)
BNBayesian Networks   BMBiology and Medicine
HMHybrid Models   LGMLearning Graphical Models
MNMarkov Networks   RPMRicher Probabilistic Models
RPRobotics and Perception   SLSupervised Learning
JJournal Article
CConference Paper
BBook
ChBook Chapter
TTechnical Report
PhDPhD Disseration
1985 - 1989
1990 - 1994
1995 - 1999
2000 - 2004
2005 - 2009
2010 - 2014

TypeReferenceDownload
topics: BNBMHMLGMMNRPMRPSL

2009
B   D. Koller and N. Friedman (2009). Probabilistic Graphical Models: Principles and Techniques. edited by . MIT Press.bib html
topics: BN       LGM MN         

B   D. Koller, Y. Bengio, D. Schuurmans, and L. Bottou (2009). Proceedings Advances in Neural Information Processing Systems (NIPS-08). .bib html
topics:          LGM       RP SL

2008
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 pdf
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 pdf
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 pdf ppt
topics:          LGM MN       SL

B   J.C. Platt, D. Koller, Y. Singer, and S. Roweis (2008). Proceedings Advances in Neural Information Processing Systems (NIPS-07). .bib html
topics:          LGM       RP SL

2007
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 pdf
topics:          LGM MN         

Ch   L. Getoor, N. Friedman, D. Koller, A. Pfeffer, and B. Taskar (2007). "Probabilistic Relational Models." In L. Getoor and B. Taskar, editors, Introduction to Statistical Relational Learning. bib pdf
topics:          LGM    RPM      

Ch   D. Heckerman, C. Meek, and D. Koller (2007). "Probabilistic Entity-Relationship Models, PRMs, and Plate Models." In L. Getoor and B. Taskar, editors, Introduction to Statistical Relational Learning. bib pdf
topics:          LGM    RPM      

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 pdf
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 pdf
topics:          LGM MN         

2005
C   M. Teyssier and D. Koller (2005). "Ordering-based Search: A Simple and Effective Algorithm for Learning Bayesian Networks." Proceedings of the Twenty-first Conference on Uncertainty in AI (UAI) (pp. 584-590). bib/abs pdf
topics: BN       LGM            

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 pdf ps.gz
topics:          LGM MN         

J   E. Segal, D. Pe'er, A. Regev, D. Koller, and N. Friedman (2005). "Learning Module Networks." Journal of Machine Learning Research, 6, 557-588. [older version, 2003]bib/abs pdf
topics:    BM    LGM    RPM      

C   B. Taskar, V. Chatalbashev, D. Koller, and C. Guestrin (2005). "Learning Structured Prediction Models: A Large Margin Approach." Twenty-Second International Conference on Machine Learning (ICML). bib/abs pdf ps.gz
topics:    BM    LGM    RPM    SL

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