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BN | BM | CGT | DM | HM | LTW | LGM | PL | MN | RPM | RP | SL | TPM | TCS |
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2011
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| J |
A.H. Beck, A.R. Sangoi, S. Leung, R.J. Marinelli, T.O. Nielsen, M.J. van de Vijver, R.B. West, M. van de Rijn, and D. Koller (2011). "Systematic Analysis of Breast Cancer Morphology Uncovers Stromal Features Associated with Survival." Science Translational Medicine, 3(108).
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J. Laserson, V. Jojic, and D. Koller (2011). "Genovo: De Novo Assembly For Metagenomes." Journal of Computational Biology, 18(3), 429-43.
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T. Gao and D. Koller (2011). "Active Classification based on Value of Classifier." Advances in Neural Information Processing Systems (NIPS 2011).
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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).
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M.P. Kumar, H. Turki, D. Preston, and D. Koller (2011). "Learning Specific-Class Segmentation from Diverse Data." Proceedings of the International Conference on Computer Vision (ICCV).
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T. Gao and D. Koller (2011). "Multiclass Boosting with Hinge Loss based on Output Coding." Proceedings of International Conference on Machine Learning (ICML).
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S. Saria, A. Duchi, and D. Koller (2011). "Discovering deformable motifs in continuous time-series data." International Joint Conference on Artificial Intelligence (IJCAI).
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T. Gao, B. Packer, and D. Koller (2011). "A Segmentation-aware Object Detection Model with Occlusion Handling." Proceedings of the Conference on Computer Vision and Pattern Recognition (CVPR).
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H. Wang and D. Koller (2011). "Multi-Level Inference by Relaxed Dual Decomposition for Human Pose Segmentation." Proceedings of the Conference on Computer Vision and Pattern Recognition (CVPR).
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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).
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2010
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| J |
S. Saria, A.K. Rajani, J. Gould, D. Koller, and A.A. Penn (2010). "Integration of early physiological responses predicts later illness severity in preterm infants." Science Translational Medicine, 2(48).
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A.J. Battle, M. Jonikas, P. Walter, J. Weissman, and D. Koller (2010). "Automated identification of pathways from quantitative genetic interaction data." Molecular Systems Biology, 6, 379.
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F. Moussavi, G. Heitz, F. Amat, L.R. Comolli, D. Koller, and M.A. Horowitz (2010). "3D Segmentation of Cell Boundaries from Whole Cell Cryogenic Electron Tomography Volumes." Journal of Structural Biology, 170(1), 134-145.
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M.E. Hillenmeyer, E. Ericson, R.W. Davis, C. Nislow, D. Koller, and G. Giaever (2010). "Systematic analysis of genome-wide fitness data reveals novel gene function and drug action." Genome Biology, 11(R30).
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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.
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S. Saria, D. Koller, and A. Penn (2010). "Discovering shared and individual latent structure in multiple time series." Technical report. , .
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P. Kumar, B. Packer, and D. Koller (2010). "Self-Paced Learning for Latent Variable Models." Advances in Neural Information Processing Systems (NIPS 2010).
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B. Packer, S. Gould, and D. Koller (2010). "A Unified Contour-Pixel Model for Segmentation." .
Proc. European Conference on Computer Vision (ECCV).
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H. Wang, S. Gould, and D. Koller (2010). "Discriminative Learning with Latent Variables for Cluttered Indoor Scene Understanding." .
Proc. European Conference on Computer Vision (ECCV).
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D. Vickrey, C. Lin, and D. Koller (2010). "Non-Local Contrastive Objectives." Proceedings of International Conference on Machine Learning (ICML).
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V. Jojic, S. Gould, and D. Koller (2010). "Fast and smooth: Accelerated dual decomposition for MAP inference." Proceedings of International Conference on Machine Learning (ICML).
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MN |
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P. Kumar and D. Koller (2010). "Efficiently Selecting Regions for Scene Understanding." Proceedings of the Conference on Computer Vision and Pattern Recognition (CVPR).
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MN |
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B. Liu, S. Gould, and D. Koller (2010). "Single Image Depth Estimation From Predicted Semantic Labels." Proceedings of the Conference on Computer Vision and Pattern Recognition (CVPR).
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V. Ganapathi, C. Plagemann, D. Koller, and S. Thrun (2010). "Real Time Motion Capture using a Single Time-Of-Flight Camera." Proceedings of the Conference on Computer Vision and Pattern Recognition (CVPR).
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C. Plagemann, V. Ganapathi, D. Koller, and S. Thrun (2010). "Realtime Identification and Localization of Body Parts from Depth Images." Proc. International Conferences on Robotics and Automation (ICRA 2010).
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2009
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| J |
H. Wang, B. Kakaradov, S.R. Collins, L. Karotki, D. Fiedler, M. Shales, K.M. Shokat, T. Walther, N.J. Krogan, and D. Koller (2009). "A complex-based reconstruction of the S. cerevisiae interactome." Molecular Cell Proteomics, 8(6), 1361-81.
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D. Fiedler, H. Braberg, M. Mehta, G. Chechik, G. Cagney, P. Mukherjee, A.C. Silva, M. Shales, S.R. Collins, S. van Wageningen, P. Kemmeren, F.C.P. Holstege, J.S. Weissman, M. Christopher-Keogh, D. Koller, K.M. Shokat, and N.J. Krogan (2009). "Functional Organization of the S. cerevisiae Phosphorylation Network." Cell, 136(5), 952-63.
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G. Chechik and D. Koller (2009). "Timing of gene expression responses to environmental changes." Journal of Computational Biology, 16(2), 279-290.
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S.-I. Lee, A.M. Dudley, D. Drubin, P.A. Silver, N.J. Krogan, D. Pe’er, and D. Koller (2009). "Learning a Prior on Regulatory Potential from eQTL Data." PLOS Genetics, 5(1), e1000358.
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A.J. Gentles, A.A. Alizadeh, S.-I. Lee andJ.H. Myklebust, C.M. Shachaf, B. Shahbaba, R. Levy, D. Koller, and S.K. Plevritis (2009). "A pluripotency signature predicts histologic transformationand influences survival in follicular lymphoma patients." Blood, 114, 3158-66.
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G. Heitz, G. Elidan, B. Packer, and D. Koller (2009). "Shape-Based Object Localization for Descriptive Classification." International Journal of Computer Vision, 84(1), 40-62.
[older version, 2008] | bib
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S. Gould, T. Gao, and D. Koller (2009). "Region-based Segmentation and Object Detection." Advances in Neural Information Processing Systems (NIPS 2009).
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M.P. Kumar and D. Koller (2009). "Learning a Small Mixture of Trees." Advances in Neural Information Processing Systems (NIPS 2009).
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S. Gould, R. Fulton, and D. Koller (2009). "Decomposing a Scene into Geometric and Semantically Consistent Regions." Proceedings of the International Conference on Computer Vision (ICCV).
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M.P. Kumar and D. Koller (2009). "MAP Estimation of Semi-Metric MRFs via Hierarchical Graph Cuts." Proceedings of the Twenty-fifth Conference on Uncertainty in AI (UAI).
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MN |
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S. Gould, F. Amat, and D. Koller (2009). "Alphabet SOUP: A Framework for Approximate Energy Minimization." Proceedings of the Conference on Computer Vision and Pattern Recognition (CVPR).
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| B |
D. Koller and N. Friedman (2009). Probabilistic Graphical Models: Principles and Techniques. edited by . MIT Press. | bib
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D. Koller, Y. Bengio, D. Schuurmans, and L. Bottou (2009). Proceedings Advances in Neural Information Processing Systems (NIPS-08). . | bib
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2008
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| J |
G. Chechik, E. Oh, O. Rando, J. Weissman, A. Regev, and D. Koller (2008). "Activity motifs reveal principles of timing in transcriptional control of the yeast metabolic network." Nature Biotechnology, 26(11), 1251-1259.
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| J |
M. Boxem, Z. Maliga, N. Klitgord, N. Li, I. Lemmens, M. Mana, L. de Lichtervelde, J.D. Mul, D. van de Peut, M. Devos, N. Simonis, M.A. Yildirim, M. Cokol, H.-L. Kao, A.-S. de Smet, H. Wang, A.-L. Schlaitz, T. Hao, S. Milstein, C. Fan andd M. Tipsword, K. Drew, M. Galli, K. Rhrissorrakrai, D. Drechsel, D. Koller, F.P. Roth, L.M. Iakoucheva, A.K. Dunker, R. Bonneau, K.C. Gunsalus, D.E. Hill, F. Piano andd J. Tavernier, S. van den Heuvel, A.A. Hyman, and M. Vidal (2008). "A Protein Domain-Based Interactome Network for C. elegans Early Embryogenesis." Cell, 134(3), 534-545.
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| J |
M.E. Hillenmeyer, E. Fung, J. Wildenhain, S.E. Pierce, S. Hoon, W. Lee, M. Proctor, 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.
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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.
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SL |
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S. Gould, J. Rodgers, D. Cohen, G. Elidan, and D. Koller (2008). "Multi-Class Segmentation with Relative Location Prior." International Journal of Computer Vision, 80(3), 300-316.
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D. Vickrey, A. Bronsan, W. Choi, A. Kumar, J. Turner-Maier, A. Wang, and D. Koller (2008). "Online Word Games for Semantic Data Collection." Conference on Empirical Methods in Natural Language Processing (EMNLP).
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S. Gould, P. Baumstarck, M. Quigley, A.Y. Ng, and D. Koller (2008). "Integrating Visual and Range Data for Robotic Object Detection." Proc. ECCV-08 Workshop on Multi-camera and Multi-modal Sensor Fusion Algorithms and Applications.
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RP |
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| C |
G. Heitz and D. Koller (2008). "Learning Spatial Context: Using Stuff to Find Things." Proc. 10th European Conference on Computer Vision.
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| topics: |
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RP |
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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).
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| topics: |
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RP |
SL |
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| C |
G. Heitz, G. Elidan, B. Packer, and D. Koller (2008). "Shape-Based Object Localization for Descriptive Classification." Advances in Neural Information Processing Systems (NIPS 2008).
[newer version, 2009] | bib
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| topics: |
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MN |
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| 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).
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MN |
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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).
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| topics: |
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HM |
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MN |
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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).
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LGM |
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MN |
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SL |
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| 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.
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| topics: |
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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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2007
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| J |
B.E. Stranger, A.C. Nica, M.S. Forrest, A. Dimas, C.P. Bird C. Beazley, C.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.
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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.
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| topics: |
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BM |
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| 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.
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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).
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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).
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MN |
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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).
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MN |
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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).
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| topics: |
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SL |
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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).
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| 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.
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| topics: |
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MN |
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| 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.
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| 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.
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| 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
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2006
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| 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, 103(38), 14062-14067.
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P. Abbeel, D. Koller, and A.Y. Ng (2006). "Learning Factor Graphs in Polynomial Time & Sample Complexity." Journal of Machine Learning Research, 7, 1743-1788.
[older version, 2005] | bib
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MN |
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| 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
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MN |
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| 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
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TPM |
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| 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
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| topics: |
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CGT |
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| 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
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MN |
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| 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
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| topics: |
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MN |
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RP |
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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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LTW |
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SL |
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2005
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| 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
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| topics: |
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LTW |
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| 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
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RP |
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| 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
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| topics: |
BN |
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LGM |
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| 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
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| topics: |
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TPM |
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| 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
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| topics: |
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TPM |
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| 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
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| topics: |
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LGM |
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MN |
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| 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
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| topics: |
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BM |
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| 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
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| topics: |
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MN |
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RP |
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| 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
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| topics: |
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BM |
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LGM |
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RPM |
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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: |
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BM |
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LGM |
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RPM |
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SL |
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| 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
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| topics: |
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MN |
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RP |
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| 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
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| topics: |
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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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BM |
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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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BM |
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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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BM |
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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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| topics: |
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RP |
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TPM |
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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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| topics: |
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RP |
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TPM |
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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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BM |
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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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| topics: |
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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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LTW |
LGM |
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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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BM |
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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 |
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MN |
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SL |
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| 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
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| topics: |
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LTW |
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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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BM |
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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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BM |
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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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BM |
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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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CGT |
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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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BM |
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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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TPM |
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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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BM |
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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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BM |
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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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LTW |
LGM |
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SL |
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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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LTW |
LGM |
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RPM |
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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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BM |
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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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LTW |
LGM |
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RPM |
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SL |
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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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LTW |
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SL |
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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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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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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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BM |
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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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LTW |
LGM |
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RPM |
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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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LTW |
LGM |
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RPM |
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SL |
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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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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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PL |
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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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LTW |
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SL |
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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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| 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
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| topics: |
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HM |
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TPM |
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| 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
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| topics: |
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DM |
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| 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
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| topics: |
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TPM |
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| 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
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| topics: |
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DM |
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| 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
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| topics: |
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DM |
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1999
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| 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
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| topics: |
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LGM |
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TPM |
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| 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
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| topics: |
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TPM |
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| 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
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| topics: |
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LGM |
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RPM |
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| 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
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| topics: |
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DM |
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| C |
D. Koller, U. Lerner, and D. Anguelov (1999). "A General Algorithm for Approximate Inference and Its Application to Hybrid Bayes Nets." Proc. Fourteenth Annual Conference on Uncertainty in AI (UAI) (pp. 324-333).
| bib/abs
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| topics: |
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HM |
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TPM |
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| 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
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| topics: |
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DM |
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| 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
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| topics: |
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RPM |
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| C |
X. Boyen and D. Koller (1999). "Approximate learning of dynamic models." Advances in Neural Information Processing Systems (NIPS) (pp. 396-402).
| bib/abs
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| topics: |
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LGM |
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TPM |
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| Ch |
D. Koller (1999). "Probabilistic relational models." In Sa\vso D\vzeroski and Peter Flach, editors, Proceedings of 9th International Workshop on Inductive Logic Programming (ILP) (pp. 3-13).
Invited contribution.
| bib
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| topics: |
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RPM |
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| Ch |
D. Koller (1999). "Game Theory." In R.A. Wilson and F.C. Keil, editors, MIT Encyclopedia for Cognitive Science (pp. 338-340).
| bib
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| topics: |
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CGT |
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1998
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| C |
X. Boyen and D. Koller (1998). "Tractable Inference for Complex Stochastic Processes." Proc. Fourteenth Annual Conference on Uncertainty in AI (UAI) (pp. 33-42).
| bib/abs
full.pdf
full.ps.gz
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| topics: |
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TPM |
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| C |
N. Friedman, D. Koller, and A. Pfeffer (1998). "Structured representation of complex stochastic systems." Proceedings of the 15th National Conference on Artificial Intelligence (AAAI) (pp. 157-164).
| bib/abs
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| topics: |
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RPM |
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TPM |
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| C |
D. Koller and R. Fratkina (1998). "Using Learning for Approximation in Stochastic Processes." Proc. Fifteenth International Conference on Machine Learning (ICML) (pp. 287-295).
| bib/abs
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| topics: |
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TPM |
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| C |
D. Koller and A. Pfeffer (1998). "Probabilistic frame-based systems." Proceedings of the 15th National Conference on Artificial Intelligence (AAAI) (pp. 580-587).
| bib/abs
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| topics: |
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RPM |
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1997
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| J |
D.R. Karger and D. Koller (1997). "(De)randomized construction of small sample spaces in NC." Journal of Computer and System Sciences, 55(3), 402-413.
Full version of paper from FOCS '94.
[older version, 1994] | bib/abs
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| topics: |
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TCS |
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| J |
B. von Stengel and D. Koller (1997). "Team-maxmin equilibria." Games and Economic Behavior, 21, 309-321.
| bib/abs
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| topics: |
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CGT |
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TCS |
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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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| J |
J. Binder, D. Koller, S.J. Russell, and K. Kanazawa (1997). "Adaptive probabilistic networks with hidden variables." Machine Learning, 29(2--3), 213-244.
Full version of IJCAI '95 paper.
| bib/abs
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| topics: |
BN |
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LGM |
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| J |
D. Koller and A. Pfeffer (1997). "Representations and Solutions for Game-Theoretic Problems." Artificial Intelligence, 94(1), 167-215.
Full version of paper in IJCAI '95.
| bib/abs
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| topics: |
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CGT |
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| C |
E. Bauer, D. Koller, and Y. Singer (1997). "Update rules for parameter estimation in Bayesian networks." Proc. Thirteenth Annual Conference on Uncertainty in AI (UAI) (pp. 3-13).
| bib/abs
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| topics: |
BN |
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LGM |
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| C |
D. Koller and A. Pfeffer (1997). "Object-Oriented Bayesian Networks." Proceedings of the 13th Annual Conference on Uncertainty in AI (UAI) (pp. 302-313).
Winner of the Best Student Paper Award.
| bib/abs
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| topics: |
BN |
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RPM |
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| C |
D. Koller, D. McAllester, and A. Pfeffer (1997). "Effective Bayesian Inference for Stochastic Programs." Proceedings of the 14th National Conference on Artificial Intelligence (AAAI) (pp. 740-747).
| bib/abs
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| topics: |
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RPM |
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| C |
D. Koller, A. Levy, and A. Pfeffer (1997). "P-Classic: A Tractable Probabilistic Description Logic." Proceedings of the 14th National Conference on Artificial Intelligence (AAAI) (pp. 390-397).
| bib/abs
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| topics: |
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RPM |
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| C |
D. Koller and A. Pfeffer (1997). "Learning probabilities for noisy first-order rules." Proceedings of the International Joint Conference on Artificial Intelligence (pp. 1316-1321).
| bib/abs
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| topics: |
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LGM |
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RPM |
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| C |
A. V. Kozlov and D. Koller (1997). "Nonuniform dynamic discretization in hybrid networks." Proc. Thirteenth Conference on Uncertainty in Artificial Intelligence (UAI) (pp. 314-325).
| bib/abs
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| topics: |
BN |
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HM |
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| C |
D. Florescu, D. Koller, and A. Levy (1997). "Using probabilistic information in data integration." Proceedings of the Conference on Very Large Databases (VLDB) (pp. 216-225).
| bib/abs
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| topics: |
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1996
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| C |
N. Friedman, J.Y. Halpern, and D. Koller (1996). "First-order conditional logic revisited." Proceedings of the 13th National Conference on Artificial Intelligence (AAAI) (pp. 1305-1312).
[newer version, 2000] | bib/abs
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| topics: |
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PL |
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| C |
C. Boutilier, N. Friedman, M. Goldszmidt, and D. Koller (1996). "Context-specific independence in Bayesian networks." Proceedings of the Twelfth Annual Conference on Uncertainty in Artificial Intelligence (UAI '96) (pp. 115-123).
| bib/abs
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| topics: |
BN |
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| J |
D. Koller (1996). "Structured representations and intractibility." ACM Computing Surveys, 28(4).
Invited contribution to the ACM Workshop on Strategic Directions in Computing Research, AI Working Group.
| bib
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| topics: |
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| J |
D. Koller and Y. Shoham (1996). "Information agents: A new challenge for AI." IEEE Expert, 8-10.
Invited contribution.
| bib
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| topics: |
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| J |
D. Koller and N. Megiddo (1996). "Finding mixed strategies with small supports in extensive form games." International Journal of Game Theory, 25(1), 73-92.
| bib/abs
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| topics: |
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CGT |
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| J |
A.J. Grove, J.Y. Halpern, and D. Koller (1996). "Asymptotic conditional probabilities: The non-unary case." Journal of Symbolic Logic, 61(1), 250-276.
Full version of paper in STOC '92.
| bib/abs
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| topics: |
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PL |
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| J |
A.J. Grove, J.Y. Halpern, and D. Koller (1996). "Asymptotic conditional probabilities: The unary case." SIAM Journal on Computing, 25(1), 1-51.
Full version of paper in STOC '92.
| bib/abs
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| topics: |
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PL |
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| J |
D. Koller, N. Megiddo, and B. von Stengel (1996). "Efficient Computation of Equilibria for Extensive Two-Person Games." Games and Economic Behavior, 14(2).
| bib/abs
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| topics: |
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CGT |
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TCS |
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| J |
F. Bacchus, A. J. Grove, J. Y. Halpern, and D. Koller (1996). "From statistical knowledge bases to degrees of belief." Artificial Intelligence, 87(1--2), 75-143.
Full version of AAAI '92 article.
| bib/abs
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| topics: |
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PL |
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| C |
D. Koller and J. Y. Halpern (1996). "Irrelevance and conditioning in first-order probabilistic logic." Proceedings of the 13th National Conference on Artificial Intelligence (AAAI) (pp. 569-576).
| bib/abs
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| topics: |
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PL |
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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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LTW |
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SL |
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1995
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| C |
J.Y. Halpern and D. Koller (1995). "Representation dependence in probabilistic inference." Proceedings of the 14th International Joint Conference on Artificial Intelligence (IJCAI) (pp. 1852-1860).
[newer version, 2004] | bib/abs
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| topics: |
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PL |
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| C |
S.J. Russell, J. Binder, D. Koller, and K. Kanazawa (1995). "Local learning in probabilistic networks with hidden variables." Proceedings of the 14th International Joint Conference on Artificial Intelligence (IJCAI) (pp. 1146-1152).
| bib
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| topics: |
BN |
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LGM |
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| C |
D. Koller and A. Pfeffer (1995). "Generating and solving imperfect information games." Proceedings of the 14th International Joint Conference on Artificial Intelligence (IJCAI) (pp. 1185-1192).
| bib/abs
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| topics: |
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CGT |
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TCS |
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| C |
J. Feigenbaum, D. Koller, and P. Shor (1995). "A game-theoretic classification of interactive complexity classes." Proceedings of the 10th Annual IEEE Conference on Structure in Complexity Theory (STRUCTURES) (pp. 227-237).
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TCS |
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| C |
K. Kanazawa, D. Koller, and S.J. Russell (1995). "Stochastic simulation algorithms for dynamic probabilistic networks." Proceedings of the Eleventh Annual Conference on Uncertainty in AI (UAI '95) (pp. 346-351).
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TPM |
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| C |
S. Glesner and D. Koller (1995). "Constructing flexible dynamic belief networks from first-order probabilistic knowledge bases." Proceedings of the European Conference on Symbolic andQuantitative Approaches to Reasoning and Uncertainty (ECSQARU '95) (pp. 217-226).
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RPM |
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1994
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| C |
F. Bacchus, A. J. Grove, J. Y. Halpern, and D. Koller (1994). "Forming Beliefs about a Changing World." Proceedings of the 12th National Conference on Artificial Intelligence (AAAI) (pp. 222-229).
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PL |
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| J |
F. Bacchus, A.J. Grove, J.Y. Halpern, and D. Koller (1994). "A Response to `Believing on the basis of evidence'." Computational Intelligence, 10(1), 21-25.
Invited contribution.
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PL |
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| J |
D. Koller and N. Megiddo (1994). "Constructing Small Sample Spaces Satisfying Given Constraints." Siam Journal on Discrete Mathematics, 7(2), 260-274.
Full version of paper in STOC '93.
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TCS |
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| J |
A. J. Grove, J. Y. Halpern, and D. Koller (1994). "Random worlds and maximum entropy." Journal of Artificial Intelligence Research, 2, 33-88.
Full version of LICS '92 paper.
[older version, 1992] | bib/abs
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| topics: |
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PL |
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| J |
F. Bacchus, A. J. Grove, J. Y. Halpern, and D. Koller (1994). "A response to: ``Believing on the basis of evidence''." Computational Intelligence, 10(1), 21-25.
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| topics: |
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PL |
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| C |
F. Bacchus, A. J. Grove, J. Y. Halpern, and D. Koller (1994). "Generating new beliefs from old." Proceedings of the 10th Annual Conference on Uncertainty in AI (UAI) (pp. 37-45).
| bib/abs
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| topics: |
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PL |
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| C |
D. Koller, N. Megiddo, and B. von Stengel (1994). "Fast Algorithms for Finding Randomized Strategies in Game Trees." Proceedings of the 26th ACM Symposium on Theory of Computing (STOC '94) (pp. 750-759).
| bib/abs
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| topics: |
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CGT |
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TCS |
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| C |
D.R. Karger and D. Koller (1994). "(De)randomized construction of small sample spaces in NC." Proceedings of the 35nd Annual Symposium on the Foundations of Computer Science (FOCS) (pp. 252-263).
[newer version, 1997] | bib/abs
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| topics: |
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TCS |
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1993
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| J |
D.R. Karger, D. Koller, and S. J. Phillips (1993). "Finding the hidden path: time bounds for all-pairs shortest paths." SIAM Journal on Computing, 22(6), 1199-1217.
Full version of paper in FOCS '91.
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TCS |
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| C |
F. Bacchus, A. J. Grove, J. Y. Halpern, and D. Koller (1993). "Statistical Foundations for Default Reasoning." Proceedings of the Thirteenth International Joint Conference on Artificial Intelligence (IJCAI '93) (pp. 563-569).
| bib/abs
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| topics: |
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PL |
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| Ch |
F. Bacchus, A.J. Grove, J.Y. Halpern, and D. Koller (1993). "Generating degrees of belief from statistical information: an overview." In Proceedings of the 13th Conference on Foundations of Software Technology and Theoretical Computer Science (pp. 318-325).
Invited contribution.
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| topics: |
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PL |
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1992
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| C |
A.J. Grove, J.Y. Halpern, and D. Koller (1992). "Random worlds and maximum entropy." Proceedings of the 7th Annual IEEE Symposium on Logic in Computer Science (LICS) (pp. 22-33).
[newer version, 1994] | bib
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PL |
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| J |
D. Koller and N. Megiddo (1992). "The complexity of two-person zero-sum games in extensive form." Games and Economic Bahavior, 4(4), 528-552.
| bib/abs
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| topics: |
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CGT |
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TCS |
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| C |
F. Bacchus, A. J. Grove, J. Y. Halpern, and D. Koller (1992). "From Statistics to Belief." Proceedings of the Tenth National Conference on Artificial Intelligence (AAAI '92) (pp. 602-608).
| bib/abs
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| topics: |
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PL |
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| C |
A. J. Grove, J. Y. Halpern, and D. Koller (1992). "Asymptotic conditional probabilities for first-order logic." Proceedings of the 24th ACM Symposium on Theory of Computing (STOC) (pp. 294-305).
| bib/abs
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| topics: |
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PL |
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| C |
D. Koller and J. Y. Halpern (1992). "A logic for approximate reasoning." Proceedings of the Third International Conference on Principles of Knowledge Representation and Reasoning (KR) (pp. 153-164).
| bib/abs
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| topics: |
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PL |
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1991
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| C |
A.J. Grove and D. Koller (1991). "Probability estimation in face of irrelevant information." Proceedings of the 7th Annual Conference on Uncertainty in AI (UAI) (pp. 127-134).
| bib/abs
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| topics: |
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PL |
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| J |
A. Bar-Noy, D. Dolev, D. Koller, and D. Peleg (1991). "Fault-tolerant critical section management in asynchronous environments." Information and Computation, 91(1), 1-20.
Full version of paper in WDAG '89.
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| topics: |
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TCS |
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1987
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| C |
H. Attiya, A. Bar-Noy, D. Dolev, D. Koller, D. Peleg, and R. Reischuk (1987). "Achievable cases in an asynchronous environment." Proceedings of the 28th Annual Symposium on the Foundations of Computer Science (FOCS) (pp. 337-346).
| bib
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| topics: |
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TCS |
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