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ORCIDDaphne Koller
Person information
- affiliation: Stanford University, USA
- award (2019): ACM AAAI Allen Newell Award
- award: ACM Prize in Computing, 2007
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2010 – 2019
- 2019
[c177]Emma Pierson, Pang Wei Koh, Tatsunori B. Hashimoto, Daphne Koller, Jure Leskovec, Nick Eriksson, Percy Liang:
Inferring Multidimensional Rates of Aging from Cross-Sectional Data. AISTATS 2019: 97-107- 2018
- [i45]Emma Pierson, Pang Wei Koh, Tatsunori B. Hashimoto, Daphne Koller, Jure Leskovec, Nicholas Eriksson, Percy Liang:
Inferring Multi-Dimensional Rates of Aging from Cross-Sectional Data. CoRR abs/1807.04709 (2018) - 2015
- [j37]M. Pawan Kumar, Haithem Turki, Dan Preston, Daphne Koller:
Parameter Estimation and Energy Minimization for Region-Based Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 37(7): 1373-1386 (2015) - [j36]Emma Pierson, Daphne Koller, Alexis J. Battle, Sara Mostafavi
:
Sharing and Specificity of Co-expression Networks across 35 Human Tissues. PLoS Comput. Biol. 11(5) (2015) - [c176]Daphne Koller:
MOOCS: What Have We Learned? KDD 2015: 3 - 2014
- [j35]Andrew L. Maas, Chris Heather, Chuong B. Do, Relly Brandman, Daphne Koller, Andrew Y. Ng:
Offering Verified Credentials in Massive Open Online Courses: MOOCs and technology to advance learning and learning research (Ubiquity symposium). Ubiquity 2014(May): 2:1-2:11 (2014) - 2013
- [j34]Huayan Wang, Stephen Gould, Daphne Koller:
Discriminative learning with latent variables for cluttered indoor scene understanding. Commun. ACM 56(4): 92-99 (2013) - [j33]Chinmay Eishan Kulkarni, Pang Wei Wei, Huy Le, Daniel Jin hao Chia, Kathryn Papadopoulos, Justin Cheng, Daphne Koller, Scott R. Klemmer:
Peer and self assessment in massive online classes. ACM Trans. Comput. Hum. Interact. 20(6): 33:1-33:31 (2013) - [c175]Chris Piech, Jonathan Huang, Zhenghao Chen, Chuong B. Do, Andrew Y. Ng, Daphne Koller:
Tuned Models of Peer Assessment in MOOCs. EDM 2013: 153-160 - [c174]Kevin D. Tang, Bangpeng Yao, Li Fei-Fei, Daphne Koller:
Combining the Right Features for Complex Event Recognition. ICCV 2013: 2696-2703 - [c173]Huayan Wang, Daphne Koller:
A Fast and Exact Energy Minimization Algorithm for Cycle MRFs. ICML (3) 2013: 190-198 - [c172]Huayan Wang, Daphne Koller:
Subproblem-Tree Calibration: A Unified Approach to Max-Product Message Passing. ICML (2) 2013: 190-198 - [c171]Andrew Y. Ng, Daphne Koller:
The online revolution: education for everyone. KDD 2013: 2 - [c170]Sangmin Oh, A. G. Amitha Perera, Ilseo Kim, Megha Pandey, Kevin J. Cannons, Hossein Hajimirsadeghi, Arash Vahdat, Greg Mori, Ben Miller, Scott McCloskey, You-Chi Cheng, Zhen Huang, Chin-Hui Lee, Chenliang Xu, Rohit Kumar, Wei Chen, Jason J. Corso, Li Fei-Fei, Daphne Koller, Vignesh Ramanathan, Kevin Tang, Armand Joulin, Alexandre Alahi:
TRECVID 2013 GENIE: Multimedia Event Detection and Recounting. TRECVID 2013 - [c169]Ethan Fast, Colleen Lee, Alex Aiken, Michael S. Bernstein, Daphne Koller, Eric Smith:
Crowd-scale interactive formal reasoning and analytics. UIST 2013: 363-372 - [i44]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) - [i43]Uri Lerner, Brooks Moses, Maricia Scott, Sheila A. McIlraith, Daphne Koller:
Monitoring a Complez Physical System using a Hybrid Dynamic Bayes Net. CoRR abs/1301.0582 (2013) - [i42]Uri Nodelman, Christian R. Shelton, Daphne Koller:
Continuous Time Bayesian Networks. CoRR abs/1301.0591 (2013) - [i41]Ben Taskar, Pieter Abbeel, Daphne Koller:
Discriminative Probabilistic Models for Relational Data. CoRR abs/1301.0604 (2013) - [i40]Uri Lerner, Eran Segal, Daphne Koller:
Exact Inference in Networks with Discrete Children of Continuous Parents. CoRR abs/1301.2289 (2013) - [i39]Urszula Chajewska, Daphne Koller:
Utilities as Random Variables: Density Estimation and Structure Discovery. CoRR abs/1301.3840 (2013) - [i38]Nir Friedman, Daphne Koller:
Being Bayesian about Network Structure. CoRR abs/1301.3856 (2013) - [i37]Daphne Koller, Ronald Parr:
Policy Iteration for Factored MDPs. CoRR abs/1301.3869 (2013) - [i36]Brian Milch, Daphne Koller:
Probabilistic Models for Agents' Beliefs and Decisions. CoRR abs/1301.3876 (2013) - [i35]John S. Breese, Daphne Koller:
Proceedings of the Seventeenth Conference on Uncertainty in Artificial Intelligence (2001). CoRR abs/1301.4607 (2013) - [i34]Xavier Boyen, Nir Friedman, Daphne Koller:
Discovering the Hidden Structure of Complex Dynamic Systems. CoRR abs/1301.6683 (2013) - [i33]Daphne Koller, Uri Lerner, Dragomir Anguelov:
A General Algorithm for Approximate Inference and its Application to Hybrid Bayes Nets. CoRR abs/1301.6709 (2013) - [i32]Avi Pfeffer, Daphne Koller, Brian Milch, Ken T. Takusagawa:
SPOOK: A System for Probabilistic Object-Oriented Knowledge Representation. CoRR abs/1301.6733 (2013) - [i31]Xavier Boyen, Daphne Koller:
Tractable Inference for Complex Stochastic Processes. CoRR abs/1301.7362 (2013) - [i30]Eric Bauer, Daphne Koller, Yoram Singer:
Update Rules for Parameter Estimation in Bayesian Networks. CoRR abs/1302.1519 (2013) - [i29]Daphne Koller, Avi Pfeffer:
Object-Oriented Bayesian Networks. CoRR abs/1302.1554 (2013) - [i28]Alexander V. Kozlov, Daphne Koller:
Nonuniform Dynamic Discretization in Hybrid Networks. CoRR abs/1302.1555 (2013) - [i27]Craig Boutilier, Nir Friedman, Moisés Goldszmidt, Daphne Koller:
Context-Specific Independence in Bayesian Networks. CoRR abs/1302.3562 (2013) - [i26]Keiji Kanazawa, Daphne Koller, Stuart Russell:
Stochastic Simulation Algorithms for Dynamic Probabilistic Networks. CoRR abs/1302.4965 (2013) - [i25]Fahiem Bacchus, Adam J. Grove, Joseph Y. Halpern, Daphne Koller:
Generating New Beliefs From Old. CoRR abs/1302.6783 (2013) - [i24]Adam J. Grove, Daphne Koller:
Probability Estimation in Face of Irrelevant Information. CoRR abs/1303.5719 (2013) - [i23]Chris Piech, Jonathan Huang, Zhenghao Chen, Chuong B. Do, Andrew Y. Ng, Daphne Koller:
Tuned Models of Peer Assessment in MOOCs. CoRR abs/1307.2579 (2013) - 2012
- [j32]Evangelos Kalogerakis, Siddhartha Chaudhuri, Daphne Koller, Vladlen Koltun:
A probabilistic model for component-based shape synthesis. ACM Trans. Graph. 31(4): 55:1-55:11 (2012) - [c168]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 - [c167]Kevin D. Tang, Li Fei-Fei, Daphne Koller:
Learning latent temporal structure for complex event detection. CVPR 2012: 1250-1257 - [c166]Benjamin Packer, Kate Saenko, Daphne Koller:
A combined pose, object, and feature model for action understanding. CVPR 2012: 1378-1385 - [c165]Tianshi Gao, Michael Stark, Daphne Koller:
What Makes a Good Detector? - Structured Priors for Learning from Few Examples. ECCV (5) 2012: 354-367 - [c164]Varun Ganapathi, Christian Plagemann, Daphne Koller, Sebastian Thrun:
Real-Time Human Pose Tracking from Range Data. ECCV (6) 2012: 738-751 - [c163]M. Pawan Kumar, Benjamin Packer, Daphne Koller:
Modeling Latent Variable Uncertainty for Loss-based Learning. ICML 2012 - [c162]Kevin D. Tang, Vignesh Ramanathan, Li Fei-Fei, Daphne Koller:
Shifting Weights: Adapting Object Detectors from Image to Video. NIPS 2012: 647-655 - [c161]Chris Piech, Mehran Sahami, Daphne Koller, Steve Cooper, Paulo Blikstein:
Modeling how students learn to program. SIGCSE 2012: 153-160 - [c160]A. G. Amitha Perera, Sangmin Oh, Megha Pandey, Tianyang Ma, Anthony Hoogs, Arash Vahdat, Kevin J. Cannons, Hossein Hajimirsadeghi, Greg Mori, Scott McCloskey, Ben Miller, Sharath Venkatesha, Pedro Davalos, Pradipto Das, Chenliang Xu, Jason J. Corso, Rohini K. Srihari, Ilseo Kim, You-Chi Cheng, Zhen Huang, Chin-Hui Lee, Kevin Tang, Li Fei-Fei, Daphne Koller:
TRECVID 2012 GENIE: Multimedia Event Detection and Recounting. TRECVID 2012 - [c159]Kevin Miller, M. Pawan Kumar, Benjamin Packer, Danny Goodman, Daphne Koller:
Max-Margin Min-Entropy Models. AISTATS 2012: 779-787 - [i22]M. Pawan Kumar, Daphne Koller:
MAP Estimation of Semi-Metric MRFs via Hierarchical Graph Cuts. CoRR abs/1205.2633 (2012) - [i21]John C. Duchi, Stephen Gould, Daphne Koller:
Projected Subgradient Methods for Learning Sparse Gaussians. CoRR abs/1206.3249 (2012) - [i20]Gal Elidan, Benjamin Packer, Geremy Heitz, Daphne Koller:
Convex Point Estimation using Undirected Bayesian Transfer Hierarchies. CoRR abs/1206.3252 (2012) - [i19]Varun Ganapathi, David Vickrey, John C. Duchi, Daphne Koller:
Constrained Approximate Maximum Entropy Learning of Markov Random Fields. CoRR abs/1206.3257 (2012) - [i18]M. Pawan Kumar, Benjamin Packer, Daphne Koller:
Modeling Latent Variable Uncertainty for Loss-based Learning. CoRR abs/1206.4636 (2012) - [i17]Suchi Saria, Uri Nodelman, Daphne Koller:
Reasoning at the Right Time Granularity. CoRR abs/1206.5260 (2012) - [i16]Gal Elidan, Ian McGraw, Daphne Koller:
Residual Belief Propagation: Informed Scheduling for Asynchronous Message Passing. CoRR abs/1206.6837 (2012) - [i15]Tal El-Hay, Nir Friedman, Daphne Koller, Raz Kupferman:
Continuous Time Markov Networks. CoRR abs/1206.6838 (2012) - [i14]Pieter Abbeel, Daphne Koller, Andrew Y. Ng:
Learning Factor Graphs in Polynomial Time & Sample Complexity. CoRR abs/1207.1366 (2012) - [i13]Uri Nodelman, Daphne Koller, Christian R. Shelton:
Expectation Propagation for Continuous Time Bayesian Networks. CoRR abs/1207.1401 (2012) - [i12]Uri Nodelman, Christian R. Shelton, Daphne Koller:
Expectation Maximization and Complex Duration Distributions for Continuous Time Bayesian Networks. CoRR abs/1207.1402 (2012) - [i11]Marc Teyssier, Daphne Koller:
Ordering-Based Search: A Simple and Effective Algorithm for Learning Bayesian Networks. CoRR abs/1207.1429 (2012) - [i10]Dragomir Anguelov, Daphne Koller, Hoi-Cheung Pang, Praveen Srinivasan, Sebastian Thrun:
Recovering Articulated Object Models from 3D Range Data. CoRR abs/1207.4129 (2012) - [i9]Uri Nodelman, Christian R. Shelton, Daphne Koller:
Learning Continuous Time Bayesian Networks. CoRR abs/1212.2498 (2012) - [i8]Eran Segal, Dana Pe'er, Aviv Regev, Daphne Koller, Nir Friedman:
Learning Module Networks. CoRR abs/1212.2517 (2012) - 2011
- [j31]Jonathan Laserson, Vladimir Jojic, Daphne Koller:
Genovo: De Novo Assembly for Metagenomes. J. Comput. Biol. 18(3): 429-443 (2011) - [c158]Tianshi Gao, Benjamin Packer, Daphne Koller:
A segmentation-aware object detection model with occlusion handling. CVPR 2011: 1361-1368 - [c157]Huayan Wang, Daphne Koller:
Multi-level inference by relaxed dual decomposition for human pose segmentation. CVPR 2011: 2433-2440 - [c156]M. Pawan Kumar, Haithem Turki, Dan Preston, Daphne Koller:
Learning specific-class segmentation from diverse data. ICCV 2011: 1800-1807 - [c155]Tianshi Gao, Daphne Koller:
Discriminative learning of relaxed hierarchy for large-scale visual recognition. ICCV 2011: 2072-2079 - [c154]Tianshi Gao, Daphne Koller:
Multiclass Boosting with Hinge Loss based on Output Coding. ICML 2011: 569-576 - [c153]Suchi Saria, Andrew Duchi, Daphne Koller:
Discovering Deformable Motifs in Continuous Time Series Data. IJCAI 2011: 1465-1471 - [c152]Tianshi Gao, Daphne Koller:
Active Classification based on Value of Classifier. NIPS 2011: 1062-1070 - [c151]A. G. Amitha Perera, Sangmin Oh, Matthew J. Leotta, Ilseo Kim, Byungki Byun, Chin-Hui Lee, Scott McCloskey, Jingchen Liu, Ben Miller, Zhi Feng Huang, Arash Vahdat, Weilong Yang, Greg Mori, Kevin Tang, Daphne Koller, Li Fei-Fei, Kang Li, Gang Chen, Jason J. Corso, Yun Fu, Rohini K. Srihari:
GENIE TRECVID 2011 Multimedia Event Detection: Late-Fusion Approaches to Combine Multiple Audio-Visual features. TRECVID 2011 - [c150]Vladimir Jojic, Suchi Saria, Daphne Koller:
Convex envelopes of complexity controlling penalties: the case against premature envelopment. AISTATS 2011: 399-406 - [i7]Carlos Guestrin, Daphne Koller, Ronald Parr, Shobha Venkataraman:
Efficient Solution Algorithms for Factored MDPs. CoRR abs/1106.1822 (2011) - [i6]Ben Blum, Daphne Koller, Christian R. Shelton:
A Continuation Method for Nash Equilibria in Structured Games. CoRR abs/1110.5886 (2011) - 2010
- [c149]David Vickrey, Oscar Kipersztok, Daphne Koller:
An Active Learning Approach to Finding Related Terms. ACL (2) 2010: 371-376 - [c148]Varun Ganapathi, Christian Plagemann, Daphne Koller, Sebastian Thrun:
Real time motion capture using a single time-of-flight camera. CVPR 2010: 755-762 - [c147]Beyang Liu, Stephen Gould, Daphne Koller:
Single image depth estimation from predicted semantic labels. CVPR 2010: 1253-1260 - [c146]M. Pawan Kumar, Daphne Koller:
Efficiently selecting regions for scene understanding. CVPR 2010: 3217-3224 - [c145]Benjamin Packer, Stephen Gould, Daphne Koller:
A Unified Contour-Pixel Model for Figure-Ground Segmentation. ECCV (5) 2010: 338-351 - [c144]Huayan Wang, Stephen Gould, Daphne Koller:
Discriminative Learning with Latent Variables for Cluttered Indoor Scene Understanding. ECCV (2) 2010: 435-449 - [c143]Huayan Wang, Stephen Gould, Daphne Koller:
Discriminative Learning with Latent Variables for Cluttered Indoor Scene Understanding. ECCV (4) 2010: 497-510 - [c142]Vladimir Jojic, Stephen Gould, Daphne Koller:
Accelerated dual decomposition for MAP inference. ICML 2010: 503-510 - [c141]David Vickrey, Cliff Chiung-Yu Lin, Daphne Koller:
Non-Local Contrastive Objectives. ICML 2010: 1103-1110 - [c140]Christian Plagemann, Varun Ganapathi, Daphne Koller, Sebastian Thrun:
Real-time identification and localization of body parts from depth images. ICRA 2010: 3108-3113 - [c139]M. Pawan Kumar, Benjamin Packer, Daphne Koller:
Self-Paced Learning for Latent Variable Models. NIPS 2010: 1189-1197 - [c138]Jonathan Laserson, Vladimir Jojic, Daphne Koller:
Genovo: De Novo Assembly for Metagenomes. RECOMB 2010: 341-356 - [i5]Suchi Saria, Daphne Koller, Anna Penn:
Discovering shared and individual latent structure in multiple time series. CoRR abs/1008.2028 (2010)
2000 – 2009
- 2009
- [b1]Daphne Koller, Nir Friedman:
Probabilistic Graphical Models - Principles and Techniques. MIT Press 2009, ISBN 978-0-262-01319-2, pp. I-XXXV, 1-1231 - [j30]Geremy Heitz, Gal Elidan, Benjamin Packer, Daphne Koller:
Shape-Based Object Localization for Descriptive Classification. Int. J. Comput. Vis. 84(1): 40-62 (2009) - [j29]Gal Chechik, Daphne Koller:
Timing of Gene Expression Responses to Environmental Changes. J. Comput. Biol. 16(2): 279-290 (2009) - [c137]Stephen Gould, Fernando Amat, Daphne Koller:
Alphabet SOUP: A framework for approximate energy minimization. CVPR 2009: 903-910 - [c136]Stephen Gould, Richard Fulton, Daphne Koller:
Decomposing a scene into geometric and semantically consistent regions. ICCV 2009: 1-8 - [c135]Stephen Gould, Tianshi Gao, Daphne Koller:
Region-based Segmentation and Object Detection. NIPS 2009: 655-663 - [c134]M. Pawan Kumar, Daphne Koller:
Learning a Small Mixture of Trees. NIPS 2009: 1051-1059 - [c133]M. Pawan Kumar, Daphne Koller:
MAP Estimation of Semi-Metric MRFs via Hierarchical Graph Cuts. UAI 2009: 313-320 - [e3]Daphne Koller, Dale Schuurmans, Yoshua Bengio, Léon Bottou:
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 [contents] - 2008
- [j28]Stephen Gould, Jim Rodgers, David Cohen, Gal Elidan, Daphne Koller:
Multi-Class Segmentation with Relative Location Prior. Int. J. Comput. Vis. 80(3): 300-316 (2008) - [j27]Gal Chechik, Geremy Heitz, Gal Elidan, Pieter Abbeel, Daphne Koller:
Max-margin Classification of Data with Absent Features. J. Mach. Learn. Res. 9: 1-21 (2008) - [c132]David Vickrey, Daphne Koller:
Sentence Simplification for Semantic Role Labeling. ACL 2008: 344-352 - [c131]David Vickrey, Daphne Koller:
Applying Sentence Simplification to the CoNLL-2008 Shared Task. CoNLL 2008: 268-272 - [c130]Geremy Heitz, Daphne Koller:
Learning Spatial Context: Using Stuff to Find Things. ECCV (1) 2008: 30-43 - [c129]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 - [c128]Geremy Heitz, Gal Elidan, Benjamin Packer, Daphne Koller:
Shape-Based Object Localization for Descriptive Classification. NIPS 2008: 633-640 - [c127]Geremy Heitz, Stephen Gould, Ashutosh Saxena, Daphne Koller:
Cascaded Classification Models: Combining Models for Holistic Scene Understanding. NIPS 2008: 641-648 - [c126]John C. Duchi, Stephen Gould, Daphne Koller:
Projected Subgradient Methods for Learning Sparse Gaussians. UAI 2008: 145-152 - [c125]Gal Elidan, Benjamin Packer, Geremy Heitz, Daphne Koller:
Convex Point Estimation using Undirected Bayesian Transfer Hierarchies. UAI 2008: 179-186 - [c124]Varun Ganapathi, David Vickrey, John C. Duchi, Daphne Koller:
Constrained Approximate Maximum Entropy Learning of Markov Random Fields. UAI 2008: 196-203 - [e2]John C. Platt, Daphne Koller, Yoram Singer, Sam T. Roweis:
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 [contents] - 2007
- [c123]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 - [c122]Suchi Saria, Uri Nodelman, Daphne Koller:
Reasoning at the Right Time Granularity. UAI 2007: 326-334 - 2006
- [j26]Ben Blum, Christian R. Shelton, Daphne Koller:
A Continuation Method for Nash Equilibria in Structured Games. J. Artif. Intell. Res. 25: 457-502 (2006) - [j25]Pieter Abbeel, Daphne Koller, Andrew Y. Ng:
Learning Factor Graphs in Polynomial Time and Sample Complexity. J. Mach. Learn. Res. 7: 1743-1788 (2006) - [c121]Gal Elidan, Geremy Heitz, Daphne Koller:
Learning Object Shape: From Drawings to Images. CVPR (2) 2006: 2064-2071 - [c120]Jim Rodgers, Dragomir Anguelov, Hoi-Cheung Pang, Daphne Koller:
Object Pose Detection in Range Scan Data. CVPR (2) 2006: 2445-2452 - [c119]Rajat Raina, Andrew Y. Ng, Daphne Koller:
Constructing informative priors using transfer learning. ICML 2006: 713-720 - [c118]Alexis J. Battle, Gal Chechik, Daphne Koller:
Temporal and Cross-Subject Probabilistic Models for fMRI Prediction Tasks. NIPS 2006: 121-128 - [c117]Gal Chechik, Geremy Heitz, Gal Elidan, Pieter Abbeel, Daphne Koller:
Max-margin classification of incomplete data. NIPS 2006: 233-240 - [c116]John C. Duchi, Daniel Tarlow, Gal Elidan, Daphne Koller:
Using Combinatorial Optimization within Max-Product Belief Propagation. NIPS 2006: 369-376 - [c115]Su-In Lee, Varun Ganapathi, Daphne Koller:
Efficient Structure Learning of Markov Networks using L1-Regularization. NIPS 2006: 817-824 - [c114]Tal El-Hay, Nir Friedman, Daphne Koller, Raz Kupferman:
Continuous Time Markov Networks. UAI 2006 - [c113]Gal Elidan, Ian McGraw, Daphne Koller:
Residual Belief Propagation: Informed Scheduling for Asynchronous Message Passing. UAI 2006 - 2005
- [j24]Alexis J. Battle, Eran Segal, Daphne Koller:
Probabilistic Discovery of Overlapping Cellular Processes and Their Regulation. J. Comput. Biol. 12(7): 909-927 (2005) - [j23]Eran Segal, Dana Pe'er, Aviv Regev, Daphne Koller, Nir Friedman:
Learning Module Networks. J. Mach. Learn. Res. 6: 557-588 (2005) - [j22]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) - [c112]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 - [c111]Benjamin Taskar, Vassil Chatalbashev, Daphne Koller, Carlos Guestrin:
Learning structured prediction models: a large margin approach. ICML 2005: 896-903 - [c110]David Vickrey, Luke Biewald, Marc Teyssier, Daphne Koller:
Word-Sense Disambiguation for Machine Translation. HLT/EMNLP 2005: 771-778 - [c109]Pieter Abbeel, Daphne Koller, Andrew Y. Ng:
Learning Factor Graphs in Polynomial Time & Sample Complexity. UAI 2005: 1-9 - [c108]Uri Nodelman, Daphne Koller, Christian R. Shelton:
Expectation Propagation for Continuous Time Bayesian Networks. UAI 2005: 431-440 - [c107]Uri Nodelman, Christian R. Shelton, Daphne Koller:
Expectation Maximization and Complex Duration Distributions for Continuous Time Bayesian Networks. UAI 2005 - [c106]Marc Teyssier, Daphne Koller:
Ordering-Based Search: A Simple and Effective Algorithm for Learning Bayesian Networks. UAI 2005: 548-549 - 2004
- [j21]Lise Getoor, Jeanne T. Rhee, Daphne Koller, Peter Small:
Understanding tuberculosis epidemiology using structured statistical models. Artif. Intell. Medicine 30(3): 233-256 (2004) - [j20]Sebastian Thrun, Yufeng Liu, Daphne Koller, Andrew Y. Ng, Zoubin Ghahramani, Hugh F. Durrant-Whyte:
Simultaneous Localization and Mapping with Sparse Extended Information Filters. Int. J. Robotics Res. 23(7-8): 693-716 (2004) - [j19]Joseph Y. Halpern, Daphne Koller:
Representation Dependence in Probabilistic Inference. J. Artif. Intell. Res. 21: 319-356 (2004) - [c105]Daphne Koller:
Multi-Agent Planning in Complex Uncertain Environments. AAMAS 2004: 2 - [c104]Ben Taskar, Dan Klein, Michael Collins, Daphne Koller, Christopher D. Manning:
Max-Margin Parsing. EMNLP 2004: 1-8 - [c103]Benjamin Taskar, Vassil Chatalbashev, Daphne Koller:
Learning associative Markov networks. ICML 2004 - [c102]Dragomir Anguelov, Daphne Koller, Evan Parker, Sebastian Thrun:
Detecting and Modeling Doors with Mobile Robots. ICRA 2004: 3777-3784 - [c101]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: 33-40 - [c100]Haidong Wang, Eran Segal, Asa Ben-Hur, Daphne Koller, Douglas L. Brutlag:
Identifying Protein-Protein Interaction Sites on a Genome-Wide Scale. NIPS 2004: 1465-1472 - [c99]Alexis J. Battle, Eran Segal, Daphne Koller:
Probabilistic discovery of overlapping cellular processes and their regulation. RECOMB 2004: 167-176 - [c98]Dragomir Anguelov, Daphne Koller, Hoi-Cheung Pang, Praveen Srinivasan, Sebastian Thrun:
Recovering Articulated Object Models from 3D Range Data. UAI 2004: 18-26 - 2003
- [j18]Daphne Koller, Brian Milch:
Multi-agent influence diagrams for representing and solving games. Games Econ. Behav. 45(1): 181-221 (2003) - [j17]Carlos Guestrin, Daphne Koller, Ronald Parr, Shobha Venkataraman:
Efficient Solution Algorithms for Factored MDPs. J. Artif. Intell. Res. 19: 399-468 (2003) - [j16]Nir Friedman, Daphne Koller:
Being Bayesian About Network Structure. A Bayesian Approach to Structure Discovery in Bayesian Networks. Mach. Learn. 50(1-2): 95-125 (2003) - [c97]Benjamin Taskar, Ming Fai Wong, Daphne Koller:
Learning on the Test Data: Leveraging Unseen Features. ICML 2003: 744-751 - [c96]Ben Blum, Christian R. Shelton, Daphne Koller:
A Continuation Method for Nash Equilibria in Structured Games. IJCAI 2003: 757-764 - [c95]Carlos Guestrin, Daphne Koller, Chris Gearhart, Neal Kanodia:
Generalizing Plans to New Environments in Relational MDPs. IJCAI 2003: 1003-1010 - [c94]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 - [c93]Eran Segal, Haidong Wang, Daphne Koller:
Discovering molecular pathways from protein interaction and gene expression data. ISMB (Supplement of Bioinformatics) 2003: 264-272 - [c92]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 - [c91]Daphne Koller:
Statistical learning from relational data. KDD 2003: 4 - [c90]Benjamin Taskar, Carlos Guestrin, Daphne Koller:
Max-Margin Markov Networks. NIPS 2003: 25-32 - [c89]Benjamin Taskar, Ming Fai Wong, Pieter Abbeel, Daphne Koller:
Link Prediction in Relational Data. NIPS 2003: 659-666 - [c88]Eran Segal, Alexis J. Battle, Daphne Koller:
Decomposing Gene Expression into Cellular Processes. Pacific Symposium on Biocomputing 2003: 89-100 - [c87]Uri Nodelman, Christian R. Shelton, Daphne Koller:
Learning Continuous Time Bayesian Networks. UAI 2003: 451-458 - [c86]Eran Segal, Dana Pe'er, Aviv Regev, Daphne Koller, Nir Friedman:
Learning Module Networks. UAI 2003: 525-534 - [i4]Fahiem Bacchus, Adam J. Grove, Joseph Y. Halpern, Daphne Koller:
From Statistical Knowledge Bases to Degrees of Belief. CoRR cs.AI/0307056 (2003) - [i3]Joseph Y. Halpern, Daphne Koller:
Representation Dependence in Probabilistic Inference. CoRR cs.AI/0312048 (2003) - 2002
- [j15]Lise Getoor, Nir Friedman, Daphne Koller, Benjamin Taskar:
Learning Probabilistic Models of Link Structure. J. Mach. Learn. Res. 3: 679-707 (2002) - [c85]Carlos Guestrin, Shobha Venkataraman, Daphne Koller:
Context-Specific Multiagent Coordination and Planning with Factored MDPs. AAAI/IAAI 2002: 253-259 - [c84]David Vickrey, Daphne Koller:
Multi-Agent Algorithms for Solving Graphical Games. AAAI/IAAI 2002: 345-351 - [c83]Michael Montemerlo, Sebastian Thrun, Daphne Koller, Ben Wegbreit:
FastSLAM: A Factored Solution to the Simultaneous Localization and Mapping Problem. AAAI/IAAI 2002: 593-598 - [c82]Eran Segal, Yoseph Barash, Itamar Simon, Nir Friedman, Daphne Koller:
From promoter sequence to expression: a probabilistic framework. RECOMB 2002: 263-272 - [c81]Eran Segal, Daphne Koller:
Probabilistic hierarchical clustering for biological data. RECOMB 2002: 273-280 - [c80]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 - [c79]Uri Lerner, Brooks Moses, Maricia Scott, Sheila A. McIlraith, Daphne Koller:
Monitoring a Complez Physical System using a Hybrid Dynamic Bayes Net. UAI 2002: 301-310 - [c78]Uri Nodelman, Christian R. Shelton, Daphne Koller:
Continuous Time Bayesian Networks. UAI 2002: 378-387 - [c77]Benjamin Taskar, Pieter Abbeel, Daphne Koller:
Discriminative Probabilistic Models for Relational Data. UAI 2002: 485-492 - [c76]Sebastian Thrun, Daphne Koller, Zoubin Ghahramani, Hugh F. Durrant-Whyte, Andrew Y. Ng:
Simultaneous Mapping and Localization with Sparse Extended Information Filters: Theory and Initial Results. WAFR 2002: 363-380 - 2001
- [j14]Simon Tong, Daphne Koller:
Support Vector Machine Active Learning with Applications to Text Classification. J. Mach. Learn. Res. 2: 45-66 (2001) - [c75]Urszula Chajewska, Daphne Koller, Dirk Ormoneit:
Learning an Agent's Utility Function by Observing Behavior. ICML 2001: 35-42 - [c74]Lise Getoor, Nir Friedman, Daphne Koller, Benjamin Taskar:
Learning Probabilistic Models of Relational Structure. ICML 2001: 170-177 - [c73]Carlos Guestrin, Daphne Koller, Ronald Parr:
Max-norm Projections for Factored MDPs. IJCAI 2001: 673-682 - [c72]Simon Tong, Daphne Koller:
Active Learning for Structure in Bayesian Networks. IJCAI 2001: 863-869 - [c71]Benjamin Taskar, Eran Segal, Daphne Koller:
Probabilistic Classification and Clustering in Relational Data. IJCAI 2001: 870-878 - [c70]Daphne Koller, Brian Milch:
Multi-Agent Influence Diagrams for Representing and Solving Games. IJCAI 2001: 1027-1036 - [c69]Eran Segal, Benjamin Taskar, Audrey P. Gasch, Nir Friedman, Daphne Koller:
Rich probabilistic models for gene expression. ISMB (Supplement of Bioinformatics) 2001: 243-252 - [c68]Eran Segal, Daphne Koller, Dirk Ormoneit:
Probabilistic Abstraction Hierarchies. NIPS 2001: 913-920 - [c67]Carlos Guestrin, Daphne Koller, Ronald Parr:
Multiagent Planning with Factored MDPs. NIPS 2001: 1523-1530 - [c66]Lise Getoor, Benjamin Taskar, Daphne Koller:
Selectivity Estimation using Probabilistic Models. SIGMOD Conference 2001: 461-472 - [c65]Uri Lerner, Eran Segal, Daphne Koller:
Exact Inference in Networks with Discrete Children of Continuous Parents. UAI 2001: 319-328 - [p1]Daphne Koller, Uri Lerner:
Sampling in Factored Dynamic Systems. Sequential Monte Carlo Methods in Practice 2001: 445-464 - [e1]Jack S. Breese, Daphne Koller:
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 [contents] - 2000
- [j13]Nir Friedman, Joseph Y. Halpern, Daphne Koller:
First-order conditional logic for default reasoning revisited. ACM Trans. Comput. Log. 1(2): 175-207 (2000) - [c64]Urszula Chajewska, Daphne Koller, Ronald Parr:
Making Rational Decisions Using Adaptive Utility Elicitation. AAAI/IAAI 2000: 363-369 - [c63]Uri Lerner, Ronald Parr, Daphne Koller, Gautam Biswas:
Bayesian Fault Detection and Diagnosis in Dynamic Systems. AAAI/IAAI 2000: 531-537 - [c62]Avi Pfeffer, Daphne Koller:
Semantics and Inference for Recursive Probability Models. AAAI/IAAI 2000: 538-544 - [c61]Simon Tong, Daphne Koller:
Restricted Bayes Optimal Classifiers. AAAI/IAAI 2000: 658-664 - [c60]Simon Tong, Daphne Koller:
Support Vector Machine Active Learning with Application sto Text Classification. ICML 2000: 999-1006 - [c59]Gal Elidan, Noam Lotner, Nir Friedman, Daphne Koller:
Discovering Hidden Variables: A Structure-Based Approach. NIPS 2000: 479-485 - [c58]Simon Tong, Daphne Koller:
Active Learning for Parameter Estimation in Bayesian Networks. NIPS 2000: 647-653 - [c57]Marie desJardins, Lise Getoor, Daphne Koller:
Using Feature Hierarchies in Bayesian Network Learning. SARA 2000: 260-270 - [c56]Urszula Chajewska, Daphne Koller:
Utilities as Random Variables: Density Estimation and Structure Discovery. UAI 2000: 63-71 - [c55]Nir Friedman, Daphne Koller:
Being Bayesian about Network Structure. UAI 2000: 201-210 - [c54]Daphne Koller, Ronald Parr:
Policy Iteration for Factored MDPs. UAI 2000: 326-334 - [c53]Brian Milch, Daphne Koller:
Probabilistic Models for Agent's Beliefs and Decisions. UAI 2000: 389-396
1990 – 1999
- 1999
- [c52]Xavier Boyen, Daphne Koller:
Exploiting the Architecture of Dynamic Systems. AAAI/IAAI 1999: 313-320 - [c51]Michael J. Kearns, Daphne Koller:
Efficient Reinforcement Learning in Factored MDPs. IJCAI 1999: 740-747 - [c50]Nir Friedman, Lise Getoor, Daphne Koller, Avi Pfeffer:
Learning Probabilistic Relational Models. IJCAI 1999: 1300-1309 - [c49]Daphne Koller, Ronald Parr:
Computing Factored Value Functions for Policies in Structured MDPs. IJCAI 1999: 1332-1339 - [c48]Daphne Koller:
Probabilistic Relational Models. ILP 1999: 3-13 - [c47]Andrew Y. Ng, Ronald Parr, Daphne Koller:
Policy Search via Density Estimation. NIPS 1999: 1022-1028 - [c46]Andres C. Rodriguez, Ronald Parr, Daphne Koller:
Reinforcement Learning Using Approximate Belief States. NIPS 1999: 1036-1042 - [c45]Xavier Boyen, Nir Friedman, Daphne Koller:
Discovering the Hidden Structure of Complex Dynamic Systems. UAI 1999: 91-100 - [c44]Daphne Koller, Uri Lerner, Dragomir Anguelov:
A General Algorithm for Approximate Inference and Its Application to Hybrid Bayes Nets. UAI 1999: 324-333 - [c43]Avi Pfeffer, Daphne Koller, Brian Milch, Ken T. Takusagawa:
SPOOK: A system for probabilistic object-oriented knowledge representation. UAI 1999: 541-550 - 1998
- [c42]Nir Friedman, Daphne Koller, Avi Pfeffer:
Structured Representation of Complex Stochastic Systems. AAAI/IAAI 1998: 157-164 - [c41]Daphne Koller, Avi Pfeffer:
Probabilistic Frame-Based Systems. AAAI/IAAI 1998: 580-587 - [c40]Daphne Koller:
Structured Probabilistic Models: Bayesian Networks and Beyond. AAAI/IAAI 1998: 1210-1211 - [c39]Daphne Koller, Raya Fratkina:
Using Learning for Approximation in Stochastic Processes. ICML 1998: 287-295 - [c38]Xavier Boyen, Daphne Koller:
Approximate Learning of Dynamic Models. NIPS 1998: 396-402 - [c37]Xavier Boyen, Daphne Koller:
Tractable Inference for Complex Stochastic Processes. UAI 1998: 33-42 - [i2]Nir Friedman, Joseph Y. Halpern, Daphne Koller:
First-Order Conditional Logic Revisited. CoRR cs.AI/9808005 (1998) - 1997
- [j12]Daphne Koller, Avi Pfeffer:
Representations and Solutions for Game-Theoretic Problems. Artif. Intell. 94(1-2): 167-215 (1997) - [j11]David R. Karger, Daphne Koller:
(De)randomized Construction of Small Sample Spaces in NC. J. Comput. Syst. Sci. 55(3): 402-413 (1997) - [j10]John Binder, Daphne Koller, Stuart Russell, Keiji Kanazawa:
Adaptive Probabilistic Networks with Hidden Variables. Mach. Learn. 29(2-3): 213-244 (1997) - [c36]Daphne Koller, Alon Y. Levy, Avi Pfeffer:
P-CLASSIC: A Tractable Probablistic Description Logic. AAAI/IAAI 1997: 390-397 - [c35]Daphne Koller, David A. McAllester, Avi Pfeffer:
Effective Bayesian Inference for Stochastic Programs. AAAI/IAAI 1997: 740-747 - [c34]Daphne Koller, Mehran Sahami:
Hierarchically Classifying Documents Using Very Few Words. ICML 1997: 170-178 - [c33]Daphne Koller, Avi Pfeffer:
Learning Probabilities for Noisy First-Order Rules. IJCAI 1997: 1316-1323 - [c32]Eric Bauer, Daphne Koller, Yoram Singer:
Update Rules for Parameter Estimation in Bayesian Networks. UAI 1997: 3-13 - [c31]Daphne Koller, Avi Pfeffer:
Object-Oriented Bayesian Networks. UAI 1997: 302-313 - [c30]Alexander V. Kozlov, Daphne Koller:
Nonuniform Dynamic Discretization in Hybrid Networks. UAI 1997: 314-325 - [c29]Daniela Florescu, Daphne Koller, Alon Y. Levy:
Using Probabilistic Information in Data Integration. VLDB 1997: 216-225 - 1996
- [j9]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) - [j8]Daphne Koller:
Structured Representations and Intractability. ACM Comput. Surv. 28(4es): 8 (1996) - [j7]Adam J. Grove, Joseph Y. Halpern, Daphne Koller:
Asymptotic Conditional Probabilities: The Non-Unary Case. J. Symb. Log. 61(1): 250-276 (1996) - [j6]Adam J. Grove, Joseph Y. Halpern, Daphne Koller:
Asymptotic Conditional Probabilities: The Unary Case. SIAM J. Comput. 25(1): 1-51 (1996) - [c28]Daphne Koller, Joseph Y. Halpern:
Irrelevance and Conditioning in First-Order Probabilistic Logic. AAAI/IAAI, Vol. 1 1996: 569-576 - [c27]Nir Friedman, Joseph Y. Halpern, Daphne Koller:
First-Order Conditional Logic Revisited. AAAI/IAAI, Vol. 2 1996: 1305-1312 - [c26]Daphne Koller, Mehran Sahami:
Toward Optimal Feature Selection. ICML 1996: 284-292 - [c25]Craig Boutilier, Nir Friedman, Moisés Goldszmidt, Daphne Koller:
Context-Specific Independence in Bayesian Networks. UAI 1996: 115-123 - 1995
- [c24]Joan Feigenbaum, Daphne Koller, Peter W. Shor:
A Game-Theoretic Classification of Interactive Complexity Classes. SCT 1995: 227-237 - [c23]Sabine Glesner, Daphne Koller:
Constructing Flexible Dynamic Belief Networks from First-Order Probalistic Knowledge Bases. ECSQARU 1995: 217-226 - [c22]Quang-Tuan Luong, Joseph Weber, Daphne Koller, Jitendra Malik:
An Integrated Stereo-Based Approach to Automatic Vehicle Guidance. ICCV 1995: 52-57 - [c21]Stuart Russell, John Binder, Daphne Koller, Keiji Kanazawa:
Local Learning in Probabilistic Networks with Hidden Variables. IJCAI 1995: 1146-1152 - [c20]Daphne Koller, Avi Pfeffer:
Generating and Solving Imperfect Information Games. IJCAI 1995: 1185-1193 - [c19]Joseph Y. Halpern, Daphne Koller:
Representation Dependence in Probabilistic Inference. IJCAI 1995: 1853-1861 - [c18]Keiji Kanazawa, Daphne Koller, Stuart Russell:
Stochastic simulation algorithms for dynamic probabilistic networks. UAI 1995: 346-351 - 1994
- [j5]Fahiem Bacchus, Adam J. Grove, Joseph Y. Halpern, Daphne Koller:
A Response to "Believing on the Basis of the Evidence". Comput. Intell. 10: 21-25 (1994) - [j4]Adam J. Grove, Joseph Y. Halpern, Daphne Koller:
Random Worlds and Maximum Entropy. J. Artif. Intell. Res. 2: 33-88 (1994) - [j3]Daphne Koller, Nimrod Megiddo:
Constructing Small Sample Spaces Satisfying Given Constraints. SIAM J. Discret. Math. 7(2): 260-274 (1994) - [c17]Fahiem Bacchus, Adam J. Grove, Joseph Y. Halpern, Daphne Koller:
Forming Beliefs about a Changing World. AAAI 1994: 222-229 - [c16]Timothy Huang, Daphne Koller, Jitendra Malik, Gary H. Ogasawara, Bobby S. Rao, Stuart Russell, Joseph Weber:
Automatic Symbolic Traffic Scene Analysis Using Belief Networks. AAAI 1994: 966-972 - [c15]David R. Karger, Daphne Koller:
(De)randomized Construction of Small Sample Spaces in \calNC. FOCS 1994: 252-263 - [c14]Daphne Koller, Joseph Weber, Timothy Huang, Jitendra Malik, Gary H. Ogasawara, Stuart Russell, Bobby S. Rao:
Towards robust automatic traffic scene analysis in real-time. ICPR (1) 1994: 126-131 - [c13]Daphne Koller, Nimrod Megiddo, Bernhard von Stengel:
Fast algorithms for finding randomized strategies in game trees. STOC 1994: 750-759 - [c12]Fahiem Bacchus, Adam J. Grove, Joseph Y. Halpern, Daphne Koller:
Generating New Beliefs from Old. UAI 1994: 37-45 - [i1]Adam J. Grove, Joseph Y. Halpern, Daphne Koller:
Random Worlds and Maximum Entropy. CoRR abs/cs/9408101 (1994) - 1993
- [j2]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) - [c11]Fahiem Bacchus, Adam J. Grove, Joseph Y. Halpern, Daphne Koller:
Generating Degrees of Belief from Statistical Information: An Overview. FSTTCS 1993: 318-325 - [c10]Fahiem Bacchus, Adam J. Grove, Joseph Y. Halpern, Daphne Koller:
Statistical Foundations for Default Reasoning. IJCAI 1993: 563-569 - [c9]Daphne Koller, Nimrod Megiddo:
Constructing small sample spaces satisfying given constraints. STOC 1993: 268-277 - 1992
- [c8]Fahiem Bacchus, Adam J. Grove, Daphne Koller, Joseph Y. Halpern:
From Statistics to Beliefs. AAAI 1992: 602-608 - [c7]Daphne Koller, Joseph Y. Halpern:
A Logic for Approximate Reasoning. KR 1992: 153-164 - [c6]Adam J. Grove, Joseph Y. Halpern, Daphne Koller:
Random Worlds and Maximum Entropy. LICS 1992: 22-33 - [c5]Adam J. Grove, Joseph Y. Halpern, Daphne Koller:
Asymptotic Conditional Probabilities for First-Order Logic. STOC 1992: 294-305 - 1991
- [j1]Amotz Bar-Noy, Danny Dolev, Daphne Koller, David Peleg:
Fault-Tolerant Critical Section Management in Asynchronous Environments. Inf. Comput. 95(1): 1-20 (1991) - [c4]David R. Karger, Daphne Koller, Steven J. Phillips:
Finding the Hidden Path: Time Bounds for All-Pairs Shortest Paths. FOCS 1991: 560-568 - [c3]Adam J. Grove, Daphne Koller:
Probability Estimation in Face of Irrelevant Information. UAI 1991: 127-134
1980 – 1989
- 1989
- [c2]Amotz Bar-Noy, Danny Dolev, Daphne Koller, David Peleg:
Fault-Tolerant Critical Section Management in Asynchronous Networks. WDAG 1989: 13-23 - 1987
- [c1]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
Coauthor Index
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