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| topics: |
BN | CB | CGT | DM | HM | LGM | L | MN | NL | PL | RPM | RP | SL | TPM | TW |
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2004
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| J |
E. Segal, N. Friedman, D. Koller, and A. Regev (2004). "A Module Map Showing Conditional Activity of Expression Modules in Cancer." Nature Genetics, 36(3), 1090-1098.
| bib/abs
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| topics: |
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CB |
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| C |
A.J. Battle, E. Segal, and D. Koller (2004). "Probabilistic Discovery of Overlapping Cell Processes and Their Regulation." Eight Annual International Conference on Research in Computational Molecular Biology (RECOMB).
| bib/abs
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| topics: |
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| J |
R.M. Marion, A. Regev, E. Segal, Y. Barash, D. Koller, N. Friedman, and E. O'Shea (2004). "Sfp1 is a stress- and nutrient-sensitive regulator of ribosomal protein gene expression." Proc. National Academcy of Sciences USA, 101, 14315-22.
| bib/abs
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| topics: |
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| J |
S. Thrun, Y. Liu, D. Koller, A.Y. Ng, Z. Ghahramani, and H. Durrant-Whyte (2004). "Simultaneous localization and mapping with sparse extended information filters." International Journal of Robotics Research, 23(7/8).
| bib/abs
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| J |
S. Thrun, M. Montemerlo, D. Koller, B. Wegbreit, J. Nieto, and E. Nebot (2004). "Fastslam: An efficient solution to the simultaneous localization and mapping problem with unknown data association." Journal of Machine Learning Research.
To appear.
| bib/abs
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RP |
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| J |
L. Getoor, J. Rhee, D. Koller, and P. Small (2004). "Understanding Tuberculosis Epidemiology using Probabilistic Relational Models." Journal of Artificial Intelligence in Medicine, 30, 233-256.
| bib
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| topics: |
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RPM |
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| J |
J. Y. Halpern and D. Koller (2004). "Representation dependence in probabilistic inference." Journal of Artificial Intelligence Research, 21, 319-356.
Full version of IJCAI-95 paper.
[older version, 1995] | bib/abs
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| topics: |
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PL |
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| C |
D. Anguelov, H.-C. Pang, D. Koller, P. Srinivasan, and S. Thrun (2004). "Recovering Articulated Object Models from 3D Range Data." Proceedings of the Twentieth Conference on Uncertainty in AI (UAI) (pp. 18-26).
| bib/abs
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RP |
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| C |
D. Anguelov, D. Koller, E. Parker, and S. Thrun (2004). "Detecting and modeling doors with mobile robots." Proceedings of the IEEE International Conference on Robotics and Automation (ICRA).
| bib/abs
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| topics: |
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RP |
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| 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
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| topics: |
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LGM |
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MN |
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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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LGM |
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NL |
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SL |
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| C |
E. Segal, R. Yelensky, A. Kaushal, T. Pham, A. Regev, D. Koller, and N. Friedman (2004). "GeneXPress: A Visualization and Statistical Analysis Tool for Gene Expression and Sequence Data." Proceedings of the 11th International Conference on Intelligent Systems for Molecular Biology (ISMB).
| bib/abs
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| topics: |
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CB |
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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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LGM |
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MN |
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SL |
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TW |
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B. Taskar, M.-F. Wong, P. Abbeel, and D. Koller (2004). "Link Prediction in Relational Data." Advances in Neural Information Processing Systems (NIPS 2003).
| bib/abs
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| topics: |
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2003
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| J |
J. Stuart, E. Segal, D. Koller, and S. Kim (2003). "A Gene Co-Expression Network for Global Discovery of Conserved Genetic Modules." Science, 302(5643), 249-55.
| bib/abs
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| topics: |
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CB |
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| C |
B. Blum, C.R. Shelton, and D. Koller (2003). "A Continuation Method for Nash Equilibria in Structured Games." Eighteenth International Joint Conference on Artificial Intelligence (IJCAI).
[newer version, 2006] | bib/abs
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| topics: |
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CGT |
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| C |
C. Guestrin, D. Koller, C. Gearhart, and N. Kanodia (2003). "Generalizing Plans to New Environments in Relational MDPs." Eighteenth International Joint Conference on Artificial Intelligence (IJCAI).
| bib/abs
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| topics: |
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DM |
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| C |
M. Montemerlo, S. Thrun, D. Koller, and B. Wegbreit (2003). "FastSLAM 2.0: An Improved Particle Filtering Algorithm for Simultaneous Localization and Mapping that provably converges." Eighteenth International Joint Conference on Artificial Intelligence (IJCAI).
| bib/abs
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| topics: |
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RP |
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TPM |
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| J |
E. Segal, M. Shapira, A. Regev, D. Pe'er, D. Botstein, D. Koller, and N. Friedman (2003). "Module Networks: Identifying Regulatory Modules and Their Condition-Specific Regulators from Gene Expression Data." Nature Genetics, 34(2), 166-176.
| bib/abs
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| topics: |
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CB |
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| C |
E. Segal, A.J. Battle, and D. Koller (2003). "Decomposing gene expression into cellular processes." Proc. Pacific Symposium on Biocomputing (PSB) (pp. 89-100).
| bib/abs
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| topics: |
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RPM |
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| J |
D. Koller and B. Milch (2003). "Multi-Agent Influence Diagrams for Representing and Solving Games." Games and Economic Behavior, 45(1), 181-221.
Full version of paper in IJCAI '03.
[older version, 2001] | bib/abs
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| topics: |
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| J |
N. Friedman and D. Koller (2003). "Being Bayesian about Bayesian Network Structure:A Bayesian Approach to Structure Discovery in Bayesian Networks.." Machine Learning, 50(1--2), 95-125.
Full version of UAI 2000 paper.
[older version, 2000] | bib/abs
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| topics: |
BN |
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LGM |
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| J |
C.E. Guestrin, D. Koller, R. Parr, and S. Venkataraman (2003). "Efficient Solution Algorithms for Factored MDPs." Journal of Artificial Intelligence Research, 19, 399-468.
IJCAI/JAIR Best Paper Award, 2007.
| bib/abs
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| topics: |
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DM |
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| C |
E. Segal, D. Pe'er, A. Regev, D. Koller, and N. Friedman (2003). "Learning Module Networks." Proc. Nineteenth Conference on Uncertainty in Artificial Intelligence (UAI) (pp. 525-534).
[newer version, 2005] | bib/abs
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| topics: |
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CB |
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LGM |
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RPM |
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| C |
U. Nodelman, C.R. Shelton, and D. Koller (2003). "Learning Continuous Time Bayesian Networks." Proc. Nineteenth Conference on Uncertainty in Artificial Intelligence (UAI) (pp. 451-458).
Winner of the Best Paper Award.
| bib/abs
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| topics: |
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LGM |
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| J |
E. Segal, R. Yelensky, and D. Koller (2003). "Genome-wide Discovery of Transcriptional Modules from DNA Sequence and Gene Expression." Bioinformatics, 19(S1 (Proc. ISMB)), 1273-82.
Winner of the ISMB Best Paper Award.
| bib/abs
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| topics: |
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CB |
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RPM |
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| J |
E. Segal, H. Wang, and D. Koller (2003). "Discovering Molecular Pathways from Protein Interaction and Gene Expression data." Bioinformatics, 19(S1 (Proc ISMB)).
Winner of the ISMB Best Student Paper Award.
| bib/abs
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| topics: |
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CB |
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RPM |
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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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LGM |
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SL |
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TW |
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2002
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| J |
L. Getoor, N. Friedman, D. Koller, and B. Taskar (2002). "Learning probabilistic models of Relational Structure." Journal of Machine Learning Research, 3, 679-707.
[older version, 2001] | bib
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| topics: |
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LGM |
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RPM |
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TW |
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| C |
E. Segal, D. Koller, and D. Ormoneit (2002). "Probabilistic Abstraction Hierarchies." Advances in Neural Information Processing Systems (NIPS 2001) (pp. 913-920).
| bib/abs
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| topics: |
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LGM |
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| C |
U. Lerner, B. Moses, M. Scott, S. McIlraith, and D. Koller (2002). "Monitoring a complex physical system using a hybrid dynamic Bayes net." Proc. Eighteenth Conference on Uncertainty in Artificial Intelligence (UAI) (pp. 301-310).
| bib/abs
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| topics: |
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HM |
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TPM |
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| C |
M. Montemerlo, S. Thrun, D. Koller, and B. Wegbreit (2002). "FastSLAM: A Factored Solution to the Simultaneous Localization and Mapping Problem." Proceedings of the 18th National Conference on Artificial Intelligence (AAAI) (pp. 593-598).
| bib/abs
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| topics: |
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RP |
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TPM |
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| C |
E. Segal, Y. Barash, I. Simon, N. Friedman, and D. Koller (2002). "From Promoter Sequence to Expression: A Probabilistic Framework." Sixth Annual International Conference on Research in Computational Molecular Biology (RECOMB) (pp. 263-272).
| bib
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| topics: |
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CB |
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RPM |
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| C |
E. Segal and D. Koller (2002). "Probabilistic Hierarchical Clustering for Biological Data." Sixth Annual International Conference on Research in Computational Molecular Biology (RECOMB) (pp. 273-280).
| bib
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| topics: |
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| C |
D. Anguelov, R. Biswas, D. Koller, B. Limketkai, S. Sanner, and S. Thrun (2002). "Learning hierarchical object maps of non-stationary environments with mobile robots." Proceedings of the 17th Annual Conference on Uncertainty in AI (UAI).
| bib/abs
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| topics: |
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RP |
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| C |
U. Nodelman, C.R. Shelton, and D. Koller (2002). "Continuous Time Bayesian Networks." Proceedings of the Eighteenth Conference on Uncertainty in Artificial Intelligence (UAI) (pp. 378-387).
| bib/abs
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| topics: |
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TPM |
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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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LGM |
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RPM |
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SL |
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TW |
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| C |
D. Vickrey and D. Koller (2002). "Multi-Agent Algorithms for Solving Graphical Games." Proceedings of the Eighteenth National Conference on Artificial Intelligence (AAAI-02) (pp. 345-351).
| bib/abs
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| topics: |
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CGT |
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| C |
C.E. Guestrin, D. Koller, and R. Parr (2002). "Multiagent Planning with Factored MDPs." Advances in Neural Information Processing Systems (NIPS 2001) (pp. 1523-1530).
| bib/abs
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| topics: |
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DM |
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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
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| topics: |
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SL |
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TW |
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| C |
C. Guestrin, D. Koller, and R. Parr (2001). "Max-norm Projections for Factored MDPs." Seventeenth International Joint Conference on Artificial Intelligence (IJCAI) (pp. 673-680).
| bib/abs
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| topics: |
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DM |
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| C |
S. Tong and D. Koller (2001). "Active Learning for Structure in Bayesian Networks." Seventeenth International Joint Conference on Artificial Intelligence (IJCAI) (pp. 863-869).
| bib/abs
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| topics: |
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LGM |
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| C |
U. Chajewska, D. Koller, and D. Ormoneit (2001). "Learning an Agent's Utility Function by Observing Behavior." Proceedings of the Eighteenth International Conference on Machine Learning (ICML).
| bib/abs
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| topics: |
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DM |
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| J |
E. Segal, B. Taskar, A. Gasch, N. Friedman, and D. Koller (2001). "Rich probabilistic models for gene expression." Bioinformatics, 17(Suppl 1), S243-52.
Proc. ISMB 2001.
| bib/abs
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| topics: |
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CB |
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RPM |
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| C |
L. Getoor, N. Friedman, D. Koller, and B. Taskar (2001). "Learning probabilistic models of Relational Structure." Proceedings of the Eighteenth International Conference on Machine Learning (pp. 170-177).
[newer version, 2002] | bib/abs
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| topics: |
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LGM |
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RPM |
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TW |
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| C |
L. Getoor, B. Taskar, and D. Koller (2001). "Using Probabilistic Models for Selectivity Estimation." Proceedings of ACM SIGMOD International Conference on Management of Data (pp. 461-472).
| bib/abs
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| topics: |
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LGM |
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RPM |
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| C |
D. Koller and B. Milch (2001). "Multi-Agent Influence Diagrams for Representing and Solving Games." Proc. 17th International Joint Conference on Artificial Intelligence (IJCAI) (pp. 1027-1034).
[newer version, 2003] | bib/abs
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| topics: |
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CGT |
DM |
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| C |
U. Lerner, E. Segal, and D. Koller (2001). "Exact Inference in Networks with Discrete Children of Continuous Parents." Seventeenth Annual Conference on Uncertainty in Artificial Intelligence (UAI).
| bib/abs
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| topics: |
BN |
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HM |
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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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LGM |
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RPM |
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SL |
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TW |
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| C |
S. Tong and D. Koller (2001). "Active Learning for Parameter Estimation in Bayesian Networks." Conference on Advances in Neural Infomation Processing Systems (NIPS 2000).
| bib/abs
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| topics: |
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LGM |
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| B |
J. Breese and D. Koller (2001). Proceedings of the Seventeenth Conference on Uncertainty in Artificial Intelligence (UAI '01). Morgan Kaufmann. | bib
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| topics: |
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| Ch |
L. Getoor, N. Friedman, D. Koller, and A. Pfeffer (2001). "Learning Probabilistic Relational Models." In S. D\vzeroski and N. Lavrac, editors, Relational Data Mining (pp. 307-335).
| bib
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| topics: |
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LGM |
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RPM |
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| Ch |
D. Koller and U. Lerner (2001). "Sampling in Factored Dynamic Systems." In A. Doucet, J.F.G. de Freitas, and N. Gordon, editors, Sequential Monte Carlo Methods in Practice.
[older version, 2000] | bib
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| topics: |
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TPM |
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2000
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| J |
N. Friedman, J.Y. Halpern, and D. Koller (2000). "First-order conditional logic for default reasoning revisited." ACM Transactions on Computational Logic, 2(1), 175-207.
Full version of AAAI '96 paper.
[older version, 1996] | bib/abs
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| topics: |
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L |
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| C |
A. Pfeffer and D. Koller (2000). "Semantics and inference for recursive probability models." Proceedings of the 17th National Conference on Artificial Intelligence (AAAI) (pp. 538-544).
| bib/abs
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| topics: |
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RPM |
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| 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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SL |
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TW |
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| C |
G. Elidan, N. Lotner, N. Friedman, and D. Koller (2000). "Discovering hidden variables: A structure-based approach." Advances in Neural Information Processing Systems (NIPS 2000).
| bib/abs
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| topics: |
BN |
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LGM |
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| C |
U. Chajewska, D. Koller, and R. Parr (2000). "Making Rational Decisions using Adaptive Utility Elicitation." Proceedings of the 17th National Conference on Artificial Intelligence (AAAI) (pp. 363-369).
| bib/abs
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| topics: |
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DM |
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| C |
U. Chajewska and D. Koller (2000). "Utilities as Random Variables: Density Estimation and Structure Discovery." Proc. UAI--00 (pp. 63-71).
| bib/abs
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| topics: |
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DM |
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LGM |
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| C |
N. Friedman and D. Koller (2000). "Being Bayesian about Bayesian Network Structure:A Bayesian Approach to Structure Discovery in Bayesian Networks.." Proceedings of the 16th Annual Conference on Uncertainty in AI (UAI) (pp. 201-210).
[newer version, 2003] | bib/abs
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| topics: |
BN |
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LGM |
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| C |
D. Koller and R. Parr (2000). "Policy Iteration for Factored MDPs." Proceedings of the 16th Annual Conference on Uncertainty in AI (UAI) (pp. 326-334).
| bib/abs
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| topics: |
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DM |
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U. Lerner, R. Parr, D. Koller, and G. Biswas (2000). "Bayesian Fault Detection and Diagnosis in Dynamic Systems." Proceedings of the 17th National Conference on Artificial Intelligence (AAAI) (pp. 531-537).
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B. Milch and D. Koller (2000). "Probabilistic Models for Agents' Beliefs and Decisions." Proceedings of the 16th Annual Conference on Uncertainty in AI (UAI) (pp. 389-396).
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D. Koller and U. Lerner (2000). "Sampling in Factored Dynamic Systems." In A. Doucet, J.F.G. de Freitas, and N. Gordon, editors, Sequential Monte Carlo Methods In Practice.
Invited contribution.
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A. Rodríguez, R. Parr, and D. Koller (2000). "Reinforcement Learning Using Approximate Belief States." Advances in Neural Information Processing Systems (NIPS '99) (pp. 1036-1042).
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A.Y. Ng, R. Parr, and D. Koller (2000). "Policy Search via Density Estimation." Advances in Neural Information Processing Systems (NIPS '99).
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