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Daphne Koller Publications
Research Areas (all)Publication TypeYears
CBComputational Biology   LGMLearning Graphical Models
MNMarkov Networks   NLNatural Language
RPMRicher Probabilistic Models   RPRobotics and Perception
SLSupervised Learning   TWText and Web
JJournal Article
CConference Paper
BBook
ChBook Chapter
TTechnical Report
PhDPhD Disseration
1985 - 1989
1990 - 1994
1995 - 1999
2000 - 2004
2005 - 2009

TypeReferenceDownload
topics: CBLGMMNNLRPMRPSLTW

2009
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
J   G. Chechik, G. Heitz, G. Elidan, P. Abbeel, and D. Koller (2008). "Max-margin Classification of Data with Absent Features." Journal of Machine Learning Research, 9, 1-21. bib pdf
topics:                   SL   

C   G. Heitz, S. Gould, A. Saxena, and D. Koller (2008). "Cascaded Classification Models: Combining Models for Holistic Scene Understanding." Advances in Neural Information Processing Systems (NIPS 2008). bib pdf
topics:                RP SL   

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. Chatalbashev, D. Vickrey, and D. Koller (2007). "Learning a Meta-Level Prior for Feature Relevance from Multiple Related Tasks." Proceedings of International Conference on Machine Learning (ICML). bib pdf
topics:          NL       SL   

C   G. Chechik, G. Heitz, G. Elidan, P. Abbeel, and D. Koller (2007). "Max-margin classification of incomplete data." Advances in Neural Information Processing Systems (NIPS 2006). bib pdf
topics:                   SL   

2006
C   R. Raina, A.Y. Ng, and D. Koller (2006). "Constructing Informative Priors using Transfer Learning." Proc. Twenty-Third International Conference on Machine Learning. bib pdf
topics:                   SL TW

2005
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: CB LGM       RPM    SL   

2004
C   B. Taskar, D. Klein, M. Collins, D. Koller, and C. Manning (2004). "Max-Margin Parsing." Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP). Winner of the Best Paper Award. bib/abs pdf ps.gz
topics:    LGM    NL       SL   

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:    LGM MN          SL TW

2003
C   B. Taskar, M.-F. Wong, and D. Koller (2003). "Learning on the Test Data: Leveraging `Unseen' Features." Proc. Twentieth International Conference on Machine Learning (ICML). bib/abs pdf ps.gz
topics:    LGM             SL TW

2002
C   B. Taskar, P. Abbeel, and D. Koller (2002). "Discriminative Probabilistic Models for Relational Data." Proc. Eighteenth Conference on Uncertainty in Artificial Intelligence (UAI). bib/abs pdf ps.gz
topics:    LGM       RPM    SL TW

2001
J   S. Tong and D. Koller (2001). "Support vector machine active learning with applications to text classification." Journal of Machine Learning Research, 2, 45-66. Full version of paper in ICML 2000. [older version, 2000]bib/abs pdf.gz ps.gz
topics:                   SL TW

C   B. Taskar, E. Segal, and D. Koller (2001). "Probabilistic Supervised Learning and Clustering in Relational Data." Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence (IJCAI) (pp. 870-876). bib/abs pdf ps.gz
topics:    LGM       RPM    SL TW

2000
C   S. Tong and D. Koller (2000). "Restricted Bayes optimal classifiers." Proceedings of the 17th National Conference on Artificial Intelligence (AAAI) (pp. 658-664). bib/abs pdf ps.gz full.pdf
topics:                   SL   

C   S. Tong and D. Koller (2000). "Support vector machine active learning with applications to text classification." Proceedings of the 17th International Conference on Machine Learning (ICML) (pp. 999-1006). [newer version, 2001]bib/abs pdf ps.gz
topics:                   SL TW

1997
C   D. Koller and M. Sahami (1997). "Hierarchically classifying documents using very few words." Proceedings of the 14th International Conference on Machine Learning (ICML) (pp. 170-178). bib/abs pdf ps.gz
topics:                   SL TW

1996
C   D. Koller and M. Sahami (1996). "Toward Optimal Feature Selection." Proceedings of the Thirteenth International Conference on Machine Learning (ICML) (pp. 284-292). bib/abs pdf ps.gz
topics:                   SL TW

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