My home page
Biography
Research
Publications
My group
Courses
Professional activities
FAQ
Personal
Papers

Daphne Koller Publications
Research Areas (all)Publication TypeYears (all)
BNBayesian Networks   HMHybrid Models
LGMLearning Graphical Models   MNMarkov Networks
RPMRicher Probabilistic Models   RPRobotics and Perception
SLSupervised Learning   TPMTemporal Probabilistic Models
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: BNHMLGMMNRPMRPSLTPM

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 pdf ppt
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 pdf
topics:          MN    RP      

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

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 pdf
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 pdf
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 pdf
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 pdf
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 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            

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 pdf
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 pdf
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 pdf
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 pdf ps.gz
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 pdf
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 pdf
topics:          MN    RP      

Click to go to robotics Click to go to theory Click to go to CS Stanford Click to go to Stanford's Webpage
home | biography | research | papers | my group
courses | professional activities | FAQ | personal