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Papers Daphne Koller Publications Research Areas Publication Type Years BN Bayesian Networks    CB Computational Biology CGT Computational Game Theory    DM Decision Making HM Hybrid Models    LGM Learning Graphical Models L Logic    MN Markov Networks NL Natural Language    PL Probabilistic Logic RPM Richer Probabilistic Models    RP Robotics and Perception SL Supervised Learning    TPM Temporal Probabilistic Models TW Text and Web    TCS Theoretical Computer Science J Journal Article C Conference Paper B Book Ch Book Chapter T Technical Report PhD PhD Disseration 1985 - 1989 1990 - 1994 1995 - 1999 2000 - 2004 2005 - 2009 Type Reference Download topics: BN CB CGT DM HM LGM L MN NL PL RPM RP SL TPM TW TCS 2008 J   M.E. Hillenmeyer, E. Fung, J. Wildenhain andS.E. Pierce, S. Hoon, W. Lee, M. Proctorand R.P. St.Onge, M. Tyers, D. Koller,, R.B. Altman, R.W. Davis, C. Nislow, and G. Giaever (2008). "The Chemical Genomic Portrait of Yeast: Uncovering a Phenotype for All Genes." Science, 18, 362-365. bib topics:    CB                                           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 topics:                                     SL          J   S. Gould, J. Rodgers, D. Cohen, G. Elidan, and D. Koller (2008). "Multi-Class Segmentation with Relative Location Prior." International Journal of Computer Vision. bib topics:                                  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 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 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 topics:                LGM    MN             SL          C   D. Vickrey and D. Koller (2008). "Sentence Simplification for Semantic Role Labeling." Proceedings of the 46th Meeting of the Association forComputational Linguistics: Human Language Technologies. bib topics:                                                 2007 J   B.E. Stranger, A.C. Nica, M.S. Forrest, A. Dimas, C.P. Bird C. Beazley andC.E. Ingle, M. Dunning, P. Flicek, D. Koller, S. Montgomery, S. Tavaré, P. Deloukas, and E.T. Dermitzakis (2007). "Population genomics of human gene expression." Nature Genetics, 39(10), 1217-24. bib topics:    CB                                           J   H. Wang, E. Segal, A. Ben-Hur, Q. Li, M. Vidal, and D. Koller (2007). "InSite: A computational method for identifying protein-protein interaction binding sites on a proteome-wide scale." Genome Biology, 8(9), R192.1-R192.18. bib topics:    CB                                           C   S. Saria, U. Nodelman, and D. Koller (2007). "Reasoning at the Right Time Granularity." Proceedings of the Twenty-third Conference on Uncertainty in AI (UAI). Best student paper award. bib topics:                                        TPM       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 topics:                         NL          SL          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 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 topics:                      MN                TPM       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 topics:                                     SL          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 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 topics: BN                   MN                         Ch   L. Getoor, N. Friedman, D. Koller, A. Pfeffer, and B. Taskar (2007). "Probabilistic Relational Models." In L. Getoor and B. Taskar, editors, Introduction to Statistical Relational Learning. bib topics:                LGM             RPM                Ch   D. Heckerman, C. Meek, and D. Koller (2007). "Probabilistic Entity-Relationship Models, PRMs, and Plate Models." In L. Getoor and B. Taskar, editors, Introduction to Statistical Relational Learning. bib topics:                LGM             RPM                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 topics:                LGM    MN       RPM                2006 J   S.-I. Lee, D. Pe'er, A. Dudley, G. Church, and D. Koller (2006). "Identifying Regulatory Mechanisms using Individual Variation Reveals Key Role for Chromatin Modification." Proc.\ National Academy of Sciences. bib topics:    CB                                           C   P. Abbeel, D. Koller, and A.Y. Ng (2006). "Learning Factor Graphs in Polynomial Time & Sample Complexity." (pp. 1743-1788). [older version, 2005] bib 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 topics:                      MN                         C   T. El-Hay, N. Friedman, D. Koller, and R. Kupferman (2006). "Continuous Time Markov Networks." Proceedings of the Twenty-second Conference on Uncertainty in AI (UAI). bib topics:                                        TPM       J   B. Blum, C.R. Shelton, and D. Koller (2006). "A Continuation Method for Nash Equilibria in Structured Games." Journal of Artificial Intelligence Resarch, 25, 457-502. [older version, 2003] bib topics:       CGT                                        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 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 topics:                      MN          RP             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 topics:                                     SL    TW    2005 C   D. Vickrey, L. Biewald, M. Teyssier, and D. Koller (2005). "Word-Sense Disambiguation for Machine Translation." Conference on Empirical Methods in Natural Language Processing (EMNLP). bib/abs topics:                         NL                      C   D. Anguelov, P. Srinivasan, D. Koller, S. Thrun, J. Rodgers, and J. Davis (2005). "SCAPE: Shape Completion and Animation of People." Proceedings of the 32nd International Conference on Computer Graphics and Interactive Techniques (SIGGRAPH). bib/abs topics:                                  RP             C   M. Teyssier and D. Koller (2005). "Ordering-based Search: A Simple and Effective Algorithm for Learning Bayesian Networks." Proceedings of the Twenty-first Conference on Uncertainty in AI (UAI) (pp. 584-590). bib/abs topics: BN             LGM                               C   U. Nodelman, D. Koller, and C.R. Shelton (2005). "Expectation Propagation for Continuous Time Bayesian Networks." Proceedings of the Twenty-first Conference on Uncertainty in AI (UAI) (pp. 431-440). bib/abs topics:                                        TPM       C   U. Nodelman, C.R. Shelton, and D. Koller (2005). "Expectation Maximization and Complex Duration Distributions for Continuous Time Bayesian Networks." Proceedings of the Twenty-first Conference on Uncertainty in AI (UAI) (pp. 421-430). bib/abs topics:                                        TPM       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 topics:                LGM    MN                         J   E. Segal, N. Friedman, N. Kaminski, A. Regev, and D. Koller (2005). "From signatures to models: Understanding cancer using microarrays." Nature Genetics, 37, S38-S45. By invitation. bib/abs topics:    CB                                           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 topics:                      MN          RP             J   E. Segal, D. Pe'er, A. Regev, D. Koller, and N. Friedman (2005). "Learning Module Networks." Journal of Machine Learning Research, 6, 557-588. [older version, 2003] bib/abs topics:    CB          LGM             RPM                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 topics:    CB          LGM             RPM    SL          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 topics:                      MN          RP             C   H. Wang, E. Segal, A. Ben-Hur, D. Koller, and D. Brutlag (2005). "Identifying protein-protein interaction sites on a genome-wide scale." Advances in Neural Information Processing Systems (NIPS 2004). bib/abs topics:    CB                         RPM                2004 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 topics:    CB                                           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 topics:    CB          LGM                               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 topics:    CB                                           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 topics:                                  RP    TPM       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 topics:                                  RP    TPM       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 topics:    CB                         RPM                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 topics:                            PL                   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 topics:                                  RP             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 topics:                                  RP             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 topics:                LGM    MN                         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 topics:                LGM       NL          SL          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 topics:    CB                                           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 topics:                LGM    MN             SL    TW    C   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 topics:                               RPM          TW    2003 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 topics:    CB                                           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 topics:       CGT                                        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 topics:          DM                                     C   M. Montemerlo, S. Thrun, D. Koller, and B. Wegbreit (2003). "FastSLAM 2.0: An Improved Particle Filtering Algorithm for Simultaneous Localization and Mapping." Eighteenth International Joint Conference on Artificial Intelligence (IJCAI). bib/abs topics:                                  RP    TPM       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 topics:    CB                                           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 topics:    CB                         RPM                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 topics:       CGT                                        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 topics: BN             LGM                               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 topics:          DM                                     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 topics:    CB          LGM             RPM                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 topics:                LGM                      TPM       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 topics:    CB                         RPM                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 topics:    CB                         RPM                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 topics:                LGM                   SL    TW    2002 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 topics:                LGM             RPM          TW    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 topics:                LGM                               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 topics:             HM                         TPM       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 topics:                                  RP    TPM       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 topics:    CB                         RPM                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 topics:    CB          LGM                               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 topics:                                  RP             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 topics:                                        TPM       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 topics:                LGM             RPM    SL    TW    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 topics:       CGT                                        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 topics:          DM                                     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 topics:                                     SL    TW    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 topics:          DM                                     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 topics:                LGM                               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 topics:          DM                                     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 topics:    CB                         RPM                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 topics:                LGM             RPM          TW    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 topics:                LGM             RPM                C   D. Koller and B. Milch (2001). "Multi-Agent Influence Diagrams for Representing and Solving Games." Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence (IJCAI-01) (pp. 1027-1034). [newer version, 2003] bib/abs topics:       CGT                                        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 topics: BN          HM                                  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 topics:                LGM             RPM    SL    TW    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 topics:                LGM                               B   J. Breese and D. Koller (2001). Proceedings of the Seventeenth Conference on Uncertainty in Artificial Intelligence (UAI '01). Morgan Kaufmann. bib topics:                                                 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 topics:                LGM             RPM                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 topics:                                        TPM       2000 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 topics:                   L                            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 topics:                               RPM                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 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 topics:                                     SL    TW    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 topics: BN             LGM                               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 topics:          DM                                     C   U. Chajewska and D. Koller (2000). "Utilities as Random Variables: Density Estimation and Structure Discovery." Proc. UAI--00 (pp. 63-71). bib/abs topics:          DM    LGM                               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 topics: BN             LGM                               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 topics:          DM                                     C   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). bib/abs topics:             HM                         TPM       C   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). bib/abs topics:          DM                                     Ch   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. [newer version, 2001] bib topics:                                        TPM       C   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). bib/abs topics:          DM                                     C   A.Y. Ng, R. Parr, and D. Koller (2000). "Policy Search via Density Estimation." Advances in Neural Information Processing Systems (NIPS '99). bib/abs topics:          DM                                     1999 C   X. Boyen, N. Friedman, and D. Koller (1999). "Discovering the hidden structure of complex dynamic systems." Proceedings of the 15th Annual Conference on Uncertainty in AI (UAI) (pp. 206-215). bib/abs topics:                LGM                      TPM       C   X. Boyen and D. Koller (1999). "Exploiting the Architecture of Dynamic Systems." Proceedings of the 16th National Conference on Artificial Intelligence (AAAI) (pp. 313-320). bib/abs topics:                                        TPM       C   N. Friedman, L. Getoor, D. Koller, and A. Pfeffer (1999). "Learning probabilistic relational models." Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence (IJCAI-99) (pp. 1300-1309). bib/abs topics:                LGM             RPM                C   M. J. Kearns and D. Koller (1999). "Efficient Reinforcement Learning in Factored MDPs." Proc. Sixteenth International Joint Conference on Artificial Intelligence (IJCAI) (pp. 740-747). bib/abs topics:          DM                                     C   D. Koller and R. Parr (1999). "Computing factored value functions for policies in structured MDPs." Proc. Sixteenth International Joint Conference on Artificial Intelligence (IJCAI) (pp. 1332-1339). bib/abs topics:          DM                                     C   A. Pfeffer, D. Koller, B. Milch, and K. Takusagawa (1999). "SPOOK: A system for probabilistic object-oriented knowledge representation." Proceedings of the 15th Annual Conference on Uncertainty in AI (UAI) (pp. 541-550). bib/abs topics:                               RPM                C   X. 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