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Daphne Koller Publications
Research Areas (all)Publication TypeYears
BMBiology and Medicine   LTWLanguage and Web
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: BMLTWLGMMNRPMRPSL

2011
C   T. Gao and D. Koller (2011). "Active Classification based on Value of Classifier." Advances in Neural Information Processing Systems (NIPS 2011). bib pdf
topics:                RP SL

C   T. Gao and D. Koller (2011). "Discriminative Learning of Relaxed Hierarchy for Large-scale Visual Recognition." Proceedings of the International Conference on Computer Vision (ICCV). bib pdf
topics:                RP SL

C   T. Gao and D. Koller (2011). "Multiclass Boosting with Hinge Loss based on Output Coding." Proceedings of International Conference on Machine Learning (ICML). bib pdf
topics:                RP SL

C   V. Jojic, S. Saria, and D. Koller (2011). "Convex envelopes of complexity controlling penalties: the case against premature envelopment." Proceedings of the Conference on Artificial Intelligence and Statistics (AISTATS). bib
topics:                   SL

2010
C   S. Saria, G. McElvain, A. Rajani, A. Penn, and D. Koller (2010). "Combining Structured and Free-text Data for Automatic Coding of Patient Outcomes." Proceedings of the Americal Medical Informatics Association (AMIA) Annual Symposium. bib
topics: BM LTW             SL

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:    LTW             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:    LTW             SL

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: BM    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:    LTW LGM          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:    LTW LGM MN       SL

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:    LTW LGM          SL

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:    LTW LGM    RPM    SL

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:    LTW             SL

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:    LTW LGM    RPM    SL

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:    LTW             SL

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:    LTW             SL

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:    LTW             SL

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