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Daphne Koller Publications
Research Areas (all)Publication TypeYears
BNBayesian Networks   HMHybrid Models
LTWLanguage and Web   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: BNHMLTWLGMMNRPMRPSLTPM

2011
C   T. Gao, B. Packer, and D. Koller (2011). "A Segmentation-aware Object Detection Model with Occlusion Handling." Proceedings of the Conference on Computer Vision and Pattern Recognition (CVPR). bib pdf
topics:             MN    RP      

C   H. Wang and D. Koller (2011). "Multi-Level Inference by Relaxed Dual Decomposition for Human Pose Segmentation." Proceedings of the Conference on Computer Vision and Pattern Recognition (CVPR). bib pdf
topics:             MN    RP      

2010
C   D. Vickrey, C. Lin, and D. Koller (2010). "Non-Local Contrastive Objectives." Proceedings of International Conference on Machine Learning (ICML). bib pdf
topics:          LGM MN            

C   V. Jojic, S. Gould, and D. Koller (2010). "Fast and smooth: Accelerated dual decomposition for MAP inference." Proceedings of International Conference on Machine Learning (ICML). bib pdf
topics:          LGM MN            

C   P. Kumar and D. Koller (2010). "Efficiently Selecting Regions for Scene Understanding." Proceedings of the Conference on Computer Vision and Pattern Recognition (CVPR). bib pdf
topics:             MN    RP      

C   B. Liu, S. Gould, and D. Koller (2010). "Single Image Depth Estimation From Predicted Semantic Labels." Proceedings of the Conference on Computer Vision and Pattern Recognition (CVPR). bib pdf
topics:             MN    RP      

C   V. Ganapathi, C. Plagemann, D. Koller, and S. Thrun (2010). "Real Time Motion Capture using a Single Time-Of-Flight Camera." Proceedings of the Conference on Computer Vision and Pattern Recognition (CVPR). bib pdf
topics:             MN    RP      

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      

2004
C   B. Taskar, V. Chatalbashev, and D. Koller (2004). "Learning Associative Markov Networks." Proceedings of the Twenty-First International Conference on Machine Learning (ICML). bib/abs pdf ps.gz
topics:          LGM MN            

C   B. Taskar, C. Guestrin, and D. Koller (2004). "Max-Margin Markov Networks." Advances in Neural Information Processing Systems (NIPS 2003). Winner of the Best Student Paper Award. bib/abs pdf ps.gz
topics:       LTW LGM MN       SL   

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