Daphne Koller

Huayan Wang, Stephen Gould, Daphne Koller: Discriminative learning with latent variables for cluttered indoor scene understanding. Commun. ACM 56(4): 92-99 (2013)

Dragomir Anguelov, Rahul Biswas, Daphne Koller, Benson Limketkai, Sebastian Thrun: Learning Hierarchical Object Maps Of Non-Stationary Environments with mobile robots. CoRR abs/1301.0551 (2013)

Uri Lerner, Brooks Moses, Scott Maricia, Sheila A. McIlraith, Daphne Koller: Monitoring a Complez Physical System using a Hybrid Dynamic Bayes Net. CoRR abs/1301.0582 (2013)

Uri Nodelman, Christian R. Shelton, Daphne Koller: Continuous Time Bayesian Networks. CoRR abs/1301.0591 (2013)

Ben Taskar, Pieter Abbeel, Daphne Koller: Discriminative Probabilistic Models for Relational Data. CoRR abs/1301.0604 (2013)

Uri Lerner, Eran Segal, Daphne Koller: Exact Inference in Networks with Discrete Children of Continuous Parents. CoRR abs/1301.2289 (2013)

Urszula Chajewska, Daphne Koller: Utilities as Random Variables: Density Estimation and Structure Discovery. CoRR abs/1301.3840 (2013)

Nir Friedman, Daphne Koller: Being Bayesian about Network Structure. CoRR abs/1301.3856 (2013)

Daphne Koller, Ronald Parr: Policy Iteration for Factored MDPs. CoRR abs/1301.3869 (2013)

Brian Milch, Daphne Koller: Probabilistic Models for Agents' Beliefs and Decisions. CoRR abs/1301.3876 (2013)

John Breese, Daphne Koller: Proceedings of the Seventeenth Conference on Uncertainty in Artificial Intelligence (2001). CoRR abs/1301.4607 (2013)

Xavier Boyen, Nir Friedman, Daphne Koller: Discovering the Hidden Structure of Complex Dynamic Systems. CoRR abs/1301.6683 (2013)

Daphne Koller, Uri Lerner, Dragomir Anguelov: A General Algorithm for Approximate Inference and its Application to Hybrid Bayes Nets. CoRR abs/1301.6709 (2013)

Avi Pfeffer, Daphne Koller, Brian Milch, Ken T. Takusagawa: SPOOK: A System for Probabilistic Object-Oriented Knowledge Representation. CoRR abs/1301.6733 (2013)

Xavier Boyen, Daphne Koller: Tractable Inference for Complex Stochastic Processes. CoRR abs/1301.7362 (2013)

Eric Bauer, Daphne Koller, Yoram Singer: Update Rules for Parameter Estimation in Bayesian Networks. CoRR abs/1302.1519 (2013)

Daphne Koller, Avi Pfeffer: Object-Oriented Bayesian Networks. CoRR abs/1302.1554 (2013)

Alexander V. Kozlov, Daphne Koller: Nonuniform Dynamic Discretization in Hybrid Networks. CoRR abs/1302.1555 (2013)

Craig Boutilier, Nir Friedman, Moisés Goldszmidt, Daphne Koller: Context-Specific Independence in Bayesian Networks. CoRR abs/1302.3562 (2013)

Keiji Kanazawa, Daphne Koller, Stuart J. Russell: Stochastic Simulation Algorithms for Dynamic Probabilistic Networks. CoRR abs/1302.4965 (2013)

Fahiem Bacchus, Adam J. Grove, Joseph Y. Halpern, Daphne Koller: Generating New Beliefs From Old. CoRR abs/1302.6783 (2013)

Adam J. Grove, Daphne Koller: Probability Estimation in Face of Irrelevant Information. CoRR abs/1303.5719 (2013)

Kevin Miller, M. Pawan Kumar, Benjamin Packer, Danny Goodman, Daphne Koller: Max-Margin Min-Entropy Models. Journal of Machine Learning Research - Proceedings Track 22: 779-787 (2012)

Evangelos Kalogerakis, Siddhartha Chaudhuri, Daphne Koller, Vladlen Koltun: A probabilistic model for component-based shape synthesis. ACM Trans. Graph. 31(4): 55 (2012)

Michael Stark, Jonathan Krause, Bojan Pepik, David Meger, James J. Little, Bernt Schiele, Daphne Koller: Fine-Grained Categorization for 3D Scene Understanding. BMVC 2012: 1-12

Kevin Tang, Fei-Fei Li, Daphne Koller: Learning latent temporal structure for complex event detection. CVPR 2012: 1250-1257

Benjamin Packer, Kate Saenko, Daphne Koller: A combined pose, object, and feature model for action understanding. CVPR 2012: 1378-1385

Tianshi Gao, Michael Stark, Daphne Koller: What Makes a Good Detector? - Structured Priors for Learning from Few Examples. ECCV (5) 2012: 354-367

Varun Ganapathi, Christian Plagemann, Daphne Koller, Sebastian Thrun: Real-Time Human Pose Tracking from Range Data. ECCV (6) 2012: 738-751

M. Pawan Kumar, Benjamin Packer, Daphne Koller: Modeling Latent Variable Uncertainty for Loss-based Learning. ICML 2012

Kevin Tang, Vignesh Ramanathan, Fei-Fei Li, Daphne Koller: Shifting Weights: Adapting Object Detectors from Image to Video. NIPS 2012: 647-655

Chris Piech, Mehran Sahami, Daphne Koller, Steve Cooper, Paulo Blikstein: Modeling how students learn to program. SIGCSE 2012: 153-160

M. Pawan Kumar, Daphne Koller: MAP Estimation of Semi-Metric MRFs via Hierarchical Graph Cuts. CoRR abs/1205.2633 (2012)

John C. Duchi, Stephen Gould, Daphne Koller: Projected Subgradient Methods for Learning Sparse Gaussians. CoRR abs/1206.3249 (2012)

Gal Elidan, Benjamin Packer, Geremy Heitz, Daphne Koller: Convex Point Estimation using Undirected Bayesian Transfer Hierarchies. CoRR abs/1206.3252 (2012)

Varun Ganapathi, David Vickrey, John C. Duchi, Daphne Koller: Constrained Approximate Maximum Entropy Learning of Markov Random Fields. CoRR abs/1206.3257 (2012)

M. Pawan Kumar, Benjamin Packer, Daphne Koller: Modeling Latent Variable Uncertainty for Loss-based Learning. CoRR abs/1206.4636 (2012)

Suchi Saria, Uri Nodelman, Daphne Koller: Reasoning at the Right Time Granularity. CoRR abs/1206.5260 (2012)

Pieter Abbeel, Daphne Koller, Andrew Y. Ng: Learning Factor Graphs in Polynomial Time & Sample Complexity. CoRR abs/1207.1366 (2012)

Uri Nodelman, Daphne Koller, Christian R. Shelton: Expectation Propagation for Continuous Time Bayesian Networks. CoRR abs/1207.1401 (2012)

Uri Nodelman, Christian R. Shelton, Daphne Koller: Expectation Maximization and Complex Duration Distributions for Continuous Time Bayesian Networks. CoRR abs/1207.1402 (2012)

Marc Teyssier, Daphne Koller: Ordering-Based Search: A Simple and Effective Algorithm for Learning Bayesian Networks. CoRR abs/1207.1429 (2012)

Dragomir Anguelov, Daphne Koller, Hoi-Cheung Pang, Praveen Srinivasan, Sebastian Thrun: Recovering Articulated Object Models from 3D Range Data. CoRR abs/1207.4129 (2012)

Uri Nodelman, Christian R. Shelton, Daphne Koller: Learning Continuous Time Bayesian Networks. CoRR abs/1212.2498 (2012)

Eran Segal, Dana Pe'er, Aviv Regev, Daphne Koller, Nir Friedman: Learning Module Networks. CoRR abs/1212.2517 (2012)

Jonathan Laserson, Vladimir Jojic, Daphne Koller: Genovo: De Novo Assembly for Metagenomes. Journal of Computational Biology 18(3): 429-443 (2011)

Vladimir Jojic, Suchi Saria, Daphne Koller: Convex envelopes of complexity controlling penalties: the case against premature envelopment. Journal of Machine Learning Research - Proceedings Track 15: 399-406 (2011)

Tianshi Gao, Benjamin Packer, Daphne Koller: A segmentation-aware object detection model with occlusion handling. CVPR 2011: 1361-1368

Huayan Wang, Daphne Koller: Multi-level inference by relaxed dual decomposition for human pose segmentation. CVPR 2011: 2433-2440

M. Pawan Kumar, Haithem Turki, Dan Preston, Daphne Koller: Learning specific-class segmentation from diverse data. ICCV 2011: 1800-1807

Tianshi Gao, Daphne Koller: Discriminative learning of relaxed hierarchy for large-scale visual recognition. ICCV 2011: 2072-2079

Tianshi Gao, Daphne Koller: Multiclass Boosting with Hinge Loss based on Output Coding. ICML 2011: 569-576

Suchi Saria, Andrew Duchi, Daphne Koller: Discovering Deformable Motifs in Continuous Time Series Data. IJCAI 2011: 1465-1471

Tianshi Gao, Daphne Koller: Active Classification based on Value of Classifier. NIPS 2011: 1062-1070

Carlos Guestrin, Daphne Koller, Ronald Parr, S. Venkataraman: Efficient Solution Algorithms for Factored MDPs. CoRR abs/1106.1822 (2011)

Ben Blum, Daphne Koller, Christian R. Shelton: A Continuation Method for Nash Equilibria in Structured Games. CoRR abs/1110.5886 (2011)

David Vickrey, Oscar Kipersztok, Daphne Koller: An Active Learning Approach to Finding Related Terms. ACL (Short Papers) 2010: 371-376

Varun Ganapathi, Christian Plagemann, Daphne Koller, Sebastian Thrun: Real time motion capture using a single time-of-flight camera. CVPR 2010: 755-762

Beyang Liu, Stephen Gould, Daphne Koller: Single image depth estimation from predicted semantic labels. CVPR 2010: 1253-1260

M. Pawan Kumar, Daphne Koller: Efficiently selecting regions for scene understanding. CVPR 2010: 3217-3224

Benjamin Packer, Stephen Gould, Daphne Koller: A Unified Contour-Pixel Model for Figure-Ground Segmentation. ECCV (5) 2010: 338-351

Huayan Wang, Stephen Gould, Daphne Koller: Discriminative Learning with Latent Variables for Cluttered Indoor Scene Understanding. ECCV (2) 2010: 435-449

Huayan Wang, Stephen Gould, Daphne Koller: Discriminative Learning with Latent Variables for Cluttered Indoor Scene Understanding. ECCV (4) 2010: 497-510

Vladimir Jojic, Stephen Gould, Daphne Koller: Accelerated dual decomposition for MAP inference. ICML 2010: 503-510

David Vickrey, Cliff Chiung-Yu Lin, Daphne Koller: Non-Local Contrastive Objectives. ICML 2010: 1103-1110

Christian Plagemann, Varun Ganapathi, Daphne Koller, Sebastian Thrun: Real-time identification and localization of body parts from depth images. ICRA 2010: 3108-3113

M. Pawan Kumar, Benjamin Packer, Daphne Koller: Self-Paced Learning for Latent Variable Models. NIPS 2010: 1189-1197

Jonathan Laserson, Vladimir Jojic, Daphne Koller: Genovo: De Novo Assembly for Metagenomes. RECOMB 2010: 341-356

Suchi Saria, Daphne Koller, Anna Penn: Discovering shared and individual latent structure in multiple time series. CoRR abs/1008.2028 (2010)

Daphne Koller, Nir Friedman: Probabilistic Graphical Models - Principles and Techniques. MIT Press 2009, isbn 978-0-262-01319-2, pp. I-XXXV, 1-1231

Geremy Heitz, Gal Elidan, Benjamin Packer, Daphne Koller: Shape-Based Object Localization for Descriptive Classification. International Journal of Computer Vision 84(1): 40-62 (2009)

Gal Chechik, Daphne Koller: Timing of Gene Expression Responses to Environmental Changes. Journal of Computational Biology 16(2): 279-290 (2009)

Stephen Gould, Fernando Amat, Daphne Koller: Alphabet SOUP: A framework for approximate energy minimization. CVPR 2009: 903-910

Stephen Gould, Richard Fulton, Daphne Koller: Decomposing a scene into geometric and semantically consistent regions. ICCV 2009: 1-8

Stephen Gould, Tianshi Gao, Daphne Koller: Region-based Segmentation and Object Detection. NIPS 2009: 655-663

M. Pawan Kumar, Daphne Koller: Learning a Small Mixture of Trees. NIPS 2009: 1051-1059

M. Pawan Kumar, Daphne Koller: MAP Estimation of Semi-Metric MRFs via Hierarchical Graph Cuts. UAI 2009: 313-320

Daphne Koller, Dale Schuurmans, Yoshua Bengio, Léon Bottou (Eds.): Advances in Neural Information Processing Systems 21, Proceedings of the Twenty-Second Annual Conference on Neural Information Processing Systems, Vancouver, British Columbia, Canada, December 8-11, 2008. Curran Associates, Inc. 2009

Stephen Gould, Jim Rodgers, David Cohen, Gal Elidan, Daphne Koller: Multi-Class Segmentation with Relative Location Prior. International Journal of Computer Vision 80(3): 300-316 (2008)

Gal Chechik, Geremy Heitz, Gal Elidan, Pieter Abbeel, Daphne Koller: Max-margin Classification of Data with Absent Features. Journal of Machine Learning Research 9: 1-21 (2008)

David Vickrey, Daphne Koller: Sentence Simplification for Semantic Role Labeling. ACL 2008: 344-352

Geremy Heitz, Daphne Koller: Learning Spatial Context: Using Stuff to Find Things. ECCV (1) 2008: 30-43

David Vickrey, Aaron Bronzan, William Choi, Aman Kumar, Jason Turner-Maier, Arthur Wang, Daphne Koller: Online Word Games for Semantic Data Collection. EMNLP 2008: 533-542

Geremy Heitz, Gal Elidan, Benjamin Packer, Daphne Koller: Shape-Based Object Localization for Descriptive Classification. NIPS 2008: 633-640

Geremy Heitz, Stephen Gould, Ashutosh Saxena, Daphne Koller: Cascaded Classification Models: Combining Models for Holistic Scene Understanding. NIPS 2008: 641-648

John C. Duchi, Stephen Gould, Daphne Koller: Projected Subgradient Methods for Learning Sparse Gaussians. UAI 2008: 145-152

Gal Elidan, Benjamin Packer, Geremy Heitz, Daphne Koller: Convex Point Estimation using Undirected Bayesian Transfer Hierarchies. UAI 2008: 179-186

Varun Ganapathi, David Vickrey, John C. Duchi, Daphne Koller: Constrained Approximate Maximum Entropy Learning of Markov Random Fields. UAI 2008: 196-203

John C. Platt, Daphne Koller, Yoram Singer, Sam T. Roweis (Eds.): Advances in Neural Information Processing Systems 20, Proceedings of the Twenty-First Annual Conference on Neural Information Processing Systems, Vancouver, British Columbia, Canada, December 3-6, 2007. Curran Associates, Inc. 2008

Su-In Lee, Vassil Chatalbashev, David Vickrey, Daphne Koller: Learning a meta-level prior for feature relevance from multiple related tasks. ICML 2007: 489-496

Suchi Saria, Uri Nodelman, Daphne Koller: Reasoning at the Right Time Granularity. UAI 2007: 326-334

Ben Blum, Christian R. Shelton, Daphne Koller: A Continuation Method for Nash Equilibria in Structured Games. J. Artif. Intell. Res. (JAIR) 25: 457-502 (2006)

Pieter Abbeel, Daphne Koller, Andrew Y. Ng: Learning Factor Graphs in Polynomial Time and Sample Complexity. Journal of Machine Learning Research 7: 1743-1788 (2006)

Gal Elidan, Geremy Heitz, Daphne Koller: Learning Object Shape: From Drawings to Images. CVPR (2) 2006: 2064-2071

Jim Rodgers, Dragomir Anguelov, Hoi-Cheung Pang, Daphne Koller: Object Pose Detection in Range Scan Data. CVPR (2) 2006: 2445-2452

Rajat Raina, Andrew Y. Ng, Daphne Koller: Constructing informative priors using transfer learning. ICML 2006: 713-720

Alexis Battle, Gal Chechik, Daphne Koller: Temporal and Cross-Subject Probabilistic Models for fMRI Prediction Tasks. NIPS 2006: 121-128

Gal Chechik, Geremy Heitz, Gal Elidan, Pieter Abbeel, Daphne Koller: Max-margin classification of incomplete data. NIPS 2006: 233-240

John C. Duchi, Daniel Tarlow, Gal Elidan, Daphne Koller: Using Combinatorial Optimization within Max-Product Belief Propagation. NIPS 2006: 369-376

Su-In Lee, Varun Ganapathi, Daphne Koller: Efficient Structure Learning of Markov Networks using $L_1$-Regularization. NIPS 2006: 817-824

Tal El-Hay, Nir Friedman, Daphne Koller, Raz Kupferman: Continuous Time Markov Networks. UAI 2006

Gal Elidan, Ian McGraw, Daphne Koller: Residual Belief Propagation: Informed Scheduling for Asynchronous Message Passing. UAI 2006

Alexis Battle, Eran Segal, Daphne Koller: Probabilistic Discovery of Overlapping Cellular Processes and Their Regulation. Journal of Computational Biology 12(7): 909-927 (2005)

Eran Segal, Dana Pe'er, Aviv Regev, Daphne Koller, Nir Friedman: Learning Module Networks. Journal of Machine Learning Research 6: 557-588 (2005)

Dragomir Anguelov, Praveen Srinivasan, Daphne Koller, Sebastian Thrun, Jim Rodgers, James Davis: SCAPE: shape completion and animation of people. ACM Trans. Graph. 24(3): 408-416 (2005)

Dragomir Anguelov, Benjamin Taskar, Vassil Chatalbashev, Daphne Koller, Dinkar Gupta, Geremy Heitz, Andrew Y. Ng: Discriminative Learning of Markov Random Fields for Segmentation of 3D Scan Data. CVPR (2) 2005: 169-176

Benjamin Taskar, Vassil Chatalbashev, Daphne Koller, Carlos Guestrin: Learning structured prediction models: a large margin approach. ICML 2005: 896-903

David Vickrey, Luke Biewald, Marc Teyssier, Daphne Koller: Word-Sense Disambiguation for Machine Translation. HLT/EMNLP 2005

Pieter Abbeel, Daphne Koller, Andrew Y. Ng: Learning Factor Graphs in Polynomial Time & Sample Complexity. UAI 2005: 1-9

Uri Nodelman, Daphne Koller, Christian R. Shelton: Expectation Propagation for Continuous Time Bayesian Networks. UAI 2005: 431-440

Uri Nodelman, Christian R. Shelton, Daphne Koller: Expectation Maximization and Complex Duration Distributions for Continuous Time Bayesian Networks. UAI 2005

Marc Teyssier, Daphne Koller: Ordering-Based Search: A Simple and Effective Algorithm for Learning Bayesian Networks. UAI 2005: 548-549

Lise Getoor, Jeanne T. Rhee, Daphne Koller, Peter Small: Understanding tuberculosis epidemiology using structured statistical models. Artificial Intelligence in Medicine 30(3): 233-256 (2004)

Sebastian Thrun, Yufeng Liu, Daphne Koller, Andrew Y. Ng, Zoubin Ghahramani, Hugh F. Durrant-Whyte: Simultaneous Localization and Mapping with Sparse Extended Information Filters. I. J. Robotic Res. 23(7-8): 693-716 (2004)

Joseph Y. Halpern, Daphne Koller: Representation Dependence in Probabilistic Inference. J. Artif. Intell. Res. (JAIR) 21: 319-356 (2004)

Daphne Koller: Multi-Agent Planning in Complex Uncertain Environments. AAMAS 2004: 2

Ben Taskar, Dan Klein, Michael Collins, Daphne Koller, Christopher D. Manning: Max-Margin Parsing. EMNLP 2004: 1-8

Benjamin Taskar, Vassil Chatalbashev, Daphne Koller: Learning associative Markov networks. ICML 2004

Dragomir Anguelov, Daphne Koller, Evan Parker, Sebastian Thrun: Detecting and Modeling Doors with Mobile Robots. ICRA 2004: 3777-3784

Dragomir Anguelov, Praveen Srinivasan, Hoi-Cheung Pang, Daphne Koller, Sebastian Thrun, James Davis: The Correlated Correspondence Algorithm for Unsupervised Registration of Nonrigid Surfaces. NIPS 2004

Haidong Wang, Eran Segal, Asa Ben-Hur, Daphne Koller, Douglas L. Brutlag: Identifying Protein-Protein Interaction Sites on a Genome-Wide Scale. NIPS 2004

Alexis Battle, Eran Segal, Daphne Koller: Probabilistic discovery of overlapping cellular processes and their regulation. RECOMB 2004: 167-176

Dragomir Anguelov, Daphne Koller, Hoi-Cheung Pang, Praveen Srinivasan, Sebastian Thrun: Recovering Articulated Object Models from 3D Range Data. UAI 2004: 18-26

Daphne Koller, Brian Milch: Multi-agent influence diagrams for representing and solving games. Games and Economic Behavior 45(1): 181-221 (2003)

Carlos Guestrin, Daphne Koller, Ronald Parr, Shobha Venkataraman: Efficient Solution Algorithms for Factored MDPs. J. Artif. Intell. Res. (JAIR) 19: 399-468 (2003)

Nir Friedman, Daphne Koller: Being Bayesian About Network Structure. A Bayesian Approach to Structure Discovery in Bayesian Networks. Machine Learning 50(1-2): 95-125 (2003)

Benjamin Taskar, Ming Fai Wong, Daphne Koller: Learning on the Test Data: Leveraging Unseen Features. ICML 2003: 744-751

Ben Blum, Christian R. Shelton, Daphne Koller: A Continuation Method for Nash Equilibria in Structured Games. IJCAI 2003: 757-764

Carlos Guestrin, Daphne Koller, Chris Gearhart, Neal Kanodia: Generalizing Plans to New Environments in Relational MDPs. IJCAI 2003: 1003-1010

Michael Montemerlo, Sebastian Thrun, Daphne Koller, Ben Wegbreit: FastSLAM 2.0: An Improved Particle Filtering Algorithm for Simultaneous Localization and Mapping that Provably Converges. IJCAI 2003: 1151-1156

Eran Segal, Haidong Wang, Daphne Koller: Discovering molecular pathways from protein interaction and gene expression data. ISMB (Supplement of Bioinformatics) 2003: 264-272

Eran Segal, R. Yelensky, Daphne Koller: Genome-wide discovery of transcriptional modules from DNA sequence and gene expression. ISMB (Supplement of Bioinformatics) 2003: 273-282

Daphne Koller: Statistical learning from relational data. KDD 2003: 4

Benjamin Taskar, Carlos Guestrin, Daphne Koller: Max-Margin Markov Networks. NIPS 2003

Benjamin Taskar, Ming Fai Wong, Pieter Abbeel, Daphne Koller: Link Prediction in Relational Data. NIPS 2003

Eran Segal, Alexis Battle, Daphne Koller: Decomposing Gene Expression into Cellular Processes. Pacific Symposium on Biocomputing 2003: 89-100

Uri Nodelman, Christian R. Shelton, Daphne Koller: Learning Continuous Time Bayesian Networks. UAI 2003: 451-458

Eran Segal, Dana Pe'er, Aviv Regev, Daphne Koller, Nir Friedman: Learning Module Networks. UAI 2003: 525-534

Fahiem Bacchus, Adam J. Grove, Joseph Y. Halpern, Daphne Koller: From Statistical Knowledge Bases to Degrees of Belief. CoRR cs.AI/0307056 (2003)

Joseph Y. Halpern, Daphne Koller: Representation Dependence in Probabilistic Inference. CoRR cs.AI/0312048 (2003)

Lise Getoor, Nir Friedman, Daphne Koller, Benjamin Taskar: Learning Probabilistic Models of Link Structure. Journal of Machine Learning Research 3: 679-707 (2002)

Carlos Guestrin, Shobha Venkataraman, Daphne Koller: Context-Specific Multiagent Coordination and Planning with Factored MDPs. AAAI/IAAI 2002: 253-259

David Vickrey, Daphne Koller: Multi-Agent Algorithms for Solving Graphical Games. AAAI/IAAI 2002: 345-351

Michael Montemerlo, Sebastian Thrun, Daphne Koller, Ben Wegbreit: FastSLAM: A Factored Solution to the Simultaneous Localization and Mapping Problem. AAAI/IAAI 2002: 593-598

Eran Segal, Yoseph Barash, Itamar Simon, Nir Friedman, Daphne Koller: From promoter sequence to expression: a probabilistic framework. RECOMB 2002: 263-272

Eran Segal, Daphne Koller: Probabilistic hierarchical clustering for biological data. RECOMB 2002: 273-280

Dragomir Anguelov, Rahul Biswas, Daphne Koller, Benson Limketkai, Sebastian Thrun: Learning Hierarchical Object Maps of Non-Stationary Environments with Mobile Robots. UAI 2002: 10-17

Uri Lerner, Brooks Moses, Scott Maricia, Sheila A. McIlraith, Daphne Koller: Monitoring a Complez Physical System using a Hybrid Dynamic Bayes Net. UAI 2002: 301-310

Uri Nodelman, Christian R. Shelton, Daphne Koller: Continuous Time Bayesian Networks. UAI 2002: 378-387

Benjamin Taskar, Pieter Abbeel, Daphne Koller: Discriminative Probabilistic Models for Relational Data. UAI 2002: 485-492

Simon Tong, Daphne Koller: Support Vector Machine Active Learning with Applications to Text Classification. Journal of Machine Learning Research 2: 45-66 (2001)

Urszula Chajewska, Daphne Koller, Dirk Ormoneit: Learning an Agent's Utility Function by Observing Behavior. ICML 2001: 35-42

Lise Getoor, Nir Friedman, Daphne Koller, Benjamin Taskar: Learning Probabilistic Models of Relational Structure. ICML 2001: 170-177

Carlos Guestrin, Daphne Koller, Ronald Parr: Max-norm Projections for Factored MDPs. IJCAI 2001: 673-682

Simon Tong, Daphne Koller: Active Learning for Structure in Bayesian Networks. IJCAI 2001: 863-869

Benjamin Taskar, Eran Segal, Daphne Koller: Probabilistic Classification and Clustering in Relational Data. IJCAI 2001: 870-878

Daphne Koller, Brian Milch: Multi-Agent Influence Diagrams for Representing and Solving Games. IJCAI 2001: 1027-1036

Eran Segal, Benjamin Taskar, Audrey Gasch, Nir Friedman, Daphne Koller: Rich probabilistic models for gene expression. ISMB (Supplement of Bioinformatics) 2001: 243-252

Eran Segal, Daphne Koller, Dirk Ormoneit: Probabilistic Abstraction Hierarchies. NIPS 2001: 913-920

Carlos Guestrin, Daphne Koller, Ronald Parr: Multiagent Planning with Factored MDPs. NIPS 2001: 1523-1530

Lise Getoor, Benjamin Taskar, Daphne Koller: Selectivity Estimation using Probabilistic Models. SIGMOD Conference 2001: 461-472

Uri Lerner, Eran Segal, Daphne Koller: Exact Inference in Networks with Discrete Children of Continuous Parents. UAI 2001: 319-328

Jack S. Breese, Daphne Koller (Eds.): UAI '01: Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence, University of Washington, Seattle, Washington, USA, August 2-5, 2001. Morgan Kaufmann 2001, isbn 1-55860-800-1

Nir Friedman, Joseph Y. Halpern, Daphne Koller: First-order conditional logic for default reasoning revisited. ACM Trans. Comput. Log. 1(2): 175-207 (2000)

Urszula Chajewska, Daphne Koller, Ronald Parr: Making Rational Decisions Using Adaptive Utility Elicitation. AAAI/IAAI 2000: 363-369

Uri Lerner, Ronald Parr, Daphne Koller, Gautam Biswas: Bayesian Fault Detection and Diagnosis in Dynamic Systems. AAAI/IAAI 2000: 531-537

Avi Pfeffer, Daphne Koller: Semantics and Inference for Recursive Probability Models. AAAI/IAAI 2000: 538-544

Simon Tong, Daphne Koller: Restricted Bayes Optimal Classifiers. AAAI/IAAI 2000: 658-664

Simon Tong, Daphne Koller: Support Vector Machine Active Learning with Application sto Text Classification. ICML 2000: 999-1006

Gal Elidan, Noam Lotner, Nir Friedman, Daphne Koller: Discovering Hidden Variables: A Structure-Based Approach. NIPS 2000: 479-485

Simon Tong, Daphne Koller: Active Learning for Parameter Estimation in Bayesian Networks. NIPS 2000: 647-653

Marie desJardins, Lise Getoor, Daphne Koller: Using Feature Hierarchies in Bayesian Network Learning. SARA 2000: 260-270

Urszula Chajewska, Daphne Koller: Utilities as Random Variables: Density Estimation and Structure Discovery. UAI 2000: 63-71

Nir Friedman, Daphne Koller: Being Bayesian about Network Structure. UAI 2000: 201-210

Daphne Koller, Ronald Parr: Policy Iteration for Factored MDPs. UAI 2000: 326-334

Brian Milch, Daphne Koller: Probabilistic Models for Agent's Beliefs and Decisions. UAI 2000: 389-396

Xavier Boyen, Daphne Koller: Exploiting the Architecture of Dynamic Systems. AAAI/IAAI 1999: 313-320

Michael J. Kearns, Daphne Koller: Efficient Reinforcement Learning in Factored MDPs. IJCAI 1999: 740-747

Nir Friedman, Lise Getoor, Daphne Koller, Avi Pfeffer: Learning Probabilistic Relational Models. IJCAI 1999: 1300-1309

Daphne Koller, Ronald Parr: Computing Factored Value Functions for Policies in Structured MDPs. IJCAI 1999: 1332-1339

Daphne Koller: Probabilistic Relational Models. ILP 1999: 3-13

Andrew Y. Ng, Ronald Parr, Daphne Koller: Policy Search via Density Estimation. NIPS 1999: 1022-1028

Andres C. Rodriguez, Ronald Parr, Daphne Koller: Reinforcement Learning Using Approximate Belief States. NIPS 1999: 1036-1042

Xavier Boyen, Nir Friedman, Daphne Koller: Discovering the Hidden Structure of Complex Dynamic Systems. UAI 1999: 91-100

Daphne Koller, Uri Lerner, Dragomir Anguelov: A General Algorithm for Approximate Inference and Its Application to Hybrid Bayes Nets. UAI 1999: 324-333

Avi Pfeffer, Daphne Koller, Brian Milch, Ken T. Takusagawa: SPOOK: A system for probabilistic object-oriented knowledge representation. UAI 1999: 541-550

Nir Friedman, Daphne Koller, Avi Pfeffer: Structured Representation of Complex Stochastic Systems. AAAI/IAAI 1998: 157-164

Daphne Koller, Avi Pfeffer: Probabilistic Frame-Based Systems. AAAI/IAAI 1998: 580-587

Daphne Koller: Structured Probabilistic Models: Bayesian Networks and Beyond. AAAI/IAAI 1998: 1210-1211

Daphne Koller, Raya Fratkina: Using Learning for Approximation in Stochastic Processes. ICML 1998: 287-295

Xavier Boyen, Daphne Koller: Approximate Learning of Dynamic Models. NIPS 1998: 396-402

Xavier Boyen, Daphne Koller: Tractable Inference for Complex Stochastic Processes. UAI 1998: 33-42

Nir Friedman, Joseph Y. Halpern, Daphne Koller: First-Order Conditional Logic Revisited. CoRR cs.AI/9808005 (1998)

Daphne Koller, Avi Pfeffer: Representations and Solutions for Game-Theoretic Problems. Artif. Intell. 94(1-2): 167-215 (1997)

David R. Karger, Daphne Koller: (De)randomized Construction of Small Sample Spaces in NC. J. Comput. Syst. Sci. 55(3): 402-413 (1997)

John Binder, Daphne Koller, Stuart J. Russell, Keiji Kanazawa: Adaptive Probabilistic Networks with Hidden Variables. Machine Learning 29(2-3): 213-244 (1997)

Daphne Koller, Alon Y. Levy, Avi Pfeffer: P-CLASSIC: A Tractable Probablistic Description Logic. AAAI/IAAI 1997: 390-397

Daphne Koller, David A. McAllester, Avi Pfeffer: Effective Bayesian Inference for Stochastic Programs. AAAI/IAAI 1997: 740-747

Daphne Koller, Mehran Sahami: Hierarchically Classifying Documents Using Very Few Words. ICML 1997: 170-178

Daphne Koller, Avi Pfeffer: Learning Probabilities for Noisy First-Order Rules. IJCAI 1997: 1316-1323

Eric Bauer, Daphne Koller, Yoram Singer: Update Rules for Parameter Estimation in Bayesian Networks. UAI 1997: 3-13

Daphne Koller, Avi Pfeffer: Object-Oriented Bayesian Networks. UAI 1997: 302-313

Alexander V. Kozlov, Daphne Koller: Nonuniform Dynamic Discretization in Hybrid Networks. UAI 1997: 314-325

Daniela Florescu, Daphne Koller, Alon Y. Levy: Using Probabilistic Information in Data Integration. VLDB 1997: 216-225

Fahiem Bacchus, Adam J. Grove, Joseph Y. Halpern, Daphne Koller: From Statistical Knowledge Bases to Degrees of Belief. Artif. Intell. 87(1-2): 75-143 (1996)

Daphne Koller: Structured Representations and Intractability. ACM Comput. Surv. 28(4es): 8 (1996)

Adam J. Grove, Joseph Y. Halpern, Daphne Koller: Asymptotic Conditional Probabilities: The Non-Unary Case. J. Symb. Log. 61(1): 250-276 (1996)

Adam J. Grove, Joseph Y. Halpern, Daphne Koller: Asymptotic Conditional Probabilities: The Unary Case. SIAM J. Comput. 25(1): 1-51 (1996)

Daphne Koller, Joseph Y. Halpern: Irrelevance and Conditioning in First-Order Probabilistic Logic. AAAI/IAAI, Vol. 1 1996: 569-576

Nir Friedman, Joseph Y. Halpern, Daphne Koller: First-Order Conditional Logic Revisited. AAAI/IAAI, Vol. 2 1996: 1305-1312

Daphne Koller, Mehran Sahami: Toward Optimal Feature Selection. ICML 1996: 284-292

Craig Boutilier, Nir Friedman, Moisés Goldszmidt, Daphne Koller: Context-Specific Independence in Bayesian Networks. UAI 1996: 115-123

Joan Feigenbaum, Daphne Koller, Peter W. Shor: A Game-Theoretic Classification of Interactive Complexity Classes. Structure in Complexity Theory Conference 1995: 227-237

Sabine Glesner, Daphne Koller: Constructing Flexible Dynamic Belief Networks from First-Order Probalistic Knowledge Bases. ECSQARU 1995: 217-226

Quang-Tuan Luong, Joseph Weber, Daphne Koller, Jitendra Malik: An Integrated Stereo-Based Approach to Automatic Vehicle Guidance. ICCV 1995: 52-57

Stuart J. Russell, John Binder, Daphne Koller, Keiji Kanazawa: Local Learning in Probabilistic Networks with Hidden Variables. IJCAI 1995: 1146-1152

Daphne Koller, Avi Pfeffer: Generating and Solving Imperfect Information Games. IJCAI 1995: 1185-1193

Joseph Y. Halpern, Daphne Koller: Representation Dependence in Probabilistic Inference. IJCAI 1995: 1853-1861

Keiji Kanazawa, Daphne Koller, Stuart J. Russell: Stochastic simulation algorithms for dynamic probabilistic networks. UAI 1995: 346-351

Fahiem Bacchus, Adam J. Grove, Joseph Y. Halpern, Daphne Koller: A Response to "Believing on the Basis of the Evidence". Computational Intelligence 10: 21-25 (1994)

Adam J. Grove, Joseph Y. Halpern, Daphne Koller: Random Worlds and Maximum Entropy. J. Artif. Intell. Res. (JAIR) 2: 33-88 (1994)

Daphne Koller, Nimrod Megiddo: Constructing Small Sample Spaces Satisfying Given Constraints. SIAM J. Discrete Math. 7(2): 260-274 (1994)

Fahiem Bacchus, Adam J. Grove, Joseph Y. Halpern, Daphne Koller: Forming Beliefs about a Changing World. AAAI 1994: 222-229

Timothy Huang, Daphne Koller, Jitendra Malik, Gary H. Ogasawara, B. Rao, Stuart J. Russell, Joseph Weber: Automatic Symbolic Traffic Scene Analysis Using Belief Networks. AAAI 1994: 966-972

David R. Karger, Daphne Koller: (De)randomized Construction of Small Sample Spaces in \calNC. FOCS 1994: 252-263

Daphne Koller, Nimrod Megiddo, Bernhard von Stengel: Fast algorithms for finding randomized strategies in game trees. STOC 1994: 750-759

Fahiem Bacchus, Adam J. Grove, Joseph Y. Halpern, Daphne Koller: Generating New Beliefs from Old. UAI 1994: 37-45

David R. Karger, Daphne Koller, Steven J. Phillips: Finding the Hidden Path: Time Bounds for All-Pairs Shortest Paths. SIAM J. Comput. 22(6): 1199-1217 (1993)

Fahiem Bacchus, Adam J. Grove, Joseph Y. Halpern, Daphne Koller: Generating Degrees of Belief from Statistical Information: An Overview. FSTTCS 1993: 318-325

Fahiem Bacchus, Adam J. Grove, Joseph Y. Halpern, Daphne Koller: Statistical Foundations for Default Reasoning. IJCAI 1993: 563-569

Daphne Koller, Nimrod Megiddo: Constructing small sample spaces satisfying given constraints. STOC 1993: 268-277

Fahiem Bacchus, Adam J. Grove, Daphne Koller, Joseph Y. Halpern: From Statistics to Beliefs. AAAI 1992: 602-608

Daphne Koller, Joseph Y. Halpern: A Logic for Approximate Reasoning. KR 1992: 153-164

Adam J. Grove, Joseph Y. Halpern, Daphne Koller: Random Worlds and Maximum Entropy. LICS 1992: 22-33

Adam J. Grove, Joseph Y. Halpern, Daphne Koller: Asymptotic Conditional Probabilities for First-Order Logic. STOC 1992: 294-305

Amotz Bar-Noy, Danny Dolev, Daphne Koller, David Peleg: Fault-Tolerant Critical Section Management in Asynchronous Environments. Inf. Comput. 95(1): 1-20 (1991)

David R. Karger, Daphne Koller, Steven J. Phillips: Finding the Hidden Path: Time Bounds for All-Pairs Shortest Paths. FOCS 1991: 560-568

Adam J. Grove, Daphne Koller: Probability Estimation in Face of Irrelevant Information. UAI 1991: 127-134

Amotz Bar-Noy, Danny Dolev, Daphne Koller, David Peleg: Fault-Tolerant Critical Section Management in Asynchronous Networks. WDAG 1989: 13-23

Hagit Attiya, Amotz Bar-Noy, Danny Dolev, Daphne Koller, David Peleg, Rüdiger Reischuk: Achievable Cases in an Asynchronous Environment (Extended Abstract). FOCS 1987: 337-346