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| topics: |
BM | LTW | LGM | MN | RPM | RP | SL |
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2011
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| C |
T. Gao and D. Koller (2011). "Active Classification based on Value of Classifier." Advances in Neural Information Processing Systems (NIPS 2011).
| bib
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RP |
SL |
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| 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
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RP |
SL |
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| 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
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RP |
SL |
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| 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
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2010
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| 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
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| topics: |
BM |
LTW |
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SL |
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2009
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| B |
D. Koller, Y. Bengio, D. Schuurmans, and L. Bottou (2009). Proceedings Advances in Neural Information Processing Systems (NIPS-08). . | bib
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| topics: |
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RP |
SL |
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2008
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| 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
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| topics: |
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SL |
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| 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
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| topics: |
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RP |
SL |
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| 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
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| topics: |
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LGM |
MN |
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SL |
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| B |
J.C. Platt, D. Koller, Y. Singer, and S. Roweis (2008). Proceedings Advances in Neural Information Processing Systems (NIPS-07). . | bib
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| topics: |
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LGM |
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RP |
SL |
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2007
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| 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
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| topics: |
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LTW |
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SL |
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| 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
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| topics: |
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SL |
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2006
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| 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
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2005
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| 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
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| topics: |
BM |
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LGM |
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RPM |
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SL |
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2004
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| 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
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| topics: |
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LTW |
LGM |
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SL |
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| 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
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| topics: |
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LTW |
LGM |
MN |
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SL |
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2003
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| 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
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| topics: |
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LTW |
LGM |
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SL |
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2002
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| 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
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| topics: |
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LTW |
LGM |
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RPM |
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SL |
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2001
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| 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
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| topics: |
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LTW |
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SL |
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| 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
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| topics: |
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LTW |
LGM |
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RPM |
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SL |
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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
full.pdf
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| topics: |
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SL |
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| 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
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| topics: |
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LTW |
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SL |
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1997
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| 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
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| topics: |
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LTW |
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SL |
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1996
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| 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
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| topics: |
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SL |
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