Daphne Koller

	2012
196		Chris Piech, Mehran Sahami, Daphne Koller, Steve Cooper, Paulo Blikstein: Modeling how students learn to program. SIGCSE 2012: 153-160
195		M. Pawan Kumar, Daphne Koller: MAP Estimation of Semi-Metric MRFs via Hierarchical Graph Cuts CoRR abs/1205.2633: (2012)
194		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)
	2011
193		Tianshi Gao, Benjamin Packer, Daphne Koller: A segmentation-aware object detection model with occlusion handling. CVPR 2011: 1361-1368
192		Huayan Wang, Daphne Koller: Multi-level inference by relaxed dual decomposition for human pose segmentation. CVPR 2011: 2433-2440
191		M. Pawan Kumar, Haithem Turki, Dan Preston, Daphne Koller: Learning specific-class segmentation from diverse data. ICCV 2011: 1800-1807
190		Tianshi Gao, Daphne Koller: Discriminative learning of relaxed hierarchy for large-scale visual recognition. ICCV 2011: 2072-2079
189		Tianshi Gao, Daphne Koller: Multiclass Boosting with Hinge Loss based on Output Coding. ICML 2011: 569-576
188		Suchi Saria, Andrew Duchi, Daphne Koller: Discovering Deformable Motifs in Continuous Time Series Data. IJCAI 2011: 1465-1471
187		Tianshi Gao, Daphne Koller: Active Classification based on Value of Classifier. NIPS 2011: 1062-1070
186		Carlos Guestrin, Daphne Koller, Ronald Parr, S. Venkataraman: Efficient Solution Algorithms for Factored MDPs CoRR abs/1106.1822: (2011)
185		Ben Blum, Daphne Koller, Christian R. Shelton: A Continuation Method for Nash Equilibria in Structured Games CoRR abs/1110.5886: (2011)
184		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)
	2010
183		David Vickrey, Oscar Kipersztok, Daphne Koller: An Active Learning Approach to Finding Related Terms. ACL (Short Papers) 2010: 371-376
182		Beyang Liu, Stephen Gould, Daphne Koller: Single image depth estimation from predicted semantic labels. CVPR 2010: 1253-1260
181		M. Pawan Kumar, Daphne Koller: Efficiently selecting regions for scene understanding. CVPR 2010: 3217-3224
180		Varun Ganapathi, Christian Plagemann, Daphne Koller, Sebastian Thrun: Real time motion capture using a single time-of-flight camera. CVPR 2010: 755-762
179		Huayan Wang, Stephen Gould, Daphne Koller: Discriminative Learning with Latent Variables for Cluttered Indoor Scene Understanding. ECCV (2) 2010: 435-449
178		Huayan Wang, Stephen Gould, Daphne Koller: Discriminative Learning with Latent Variables for Cluttered Indoor Scene Understanding. ECCV (4) 2010: 497-510
177		Benjamin Packer, Stephen Gould, Daphne Koller: A Unified Contour-Pixel Model for Figure-Ground Segmentation. ECCV (5) 2010: 338-351
176		David Vickrey, Cliff Chiung-Yu Lin, Daphne Koller: Non-Local Contrastive Objectives. ICML 2010: 1103-1110
175		Vladimir Jojic, Stephen Gould, Daphne Koller: Accelerated dual decomposition for MAP inference. ICML 2010: 503-510
174		Christian Plagemann, Varun Ganapathi, Daphne Koller, Sebastian Thrun: Real-time identification and localization of body parts from depth images. ICRA 2010: 3108-3113
173		M. Pawan Kumar, Benjamin Packer, Daphne Koller: Self-Paced Learning for Latent Variable Models. NIPS 2010: 1189-1197
172		Jonathan Laserson, Vladimir Jojic, Daphne Koller: Genovo: De Novo Assembly for Metagenomes. RECOMB 2010: 341-356
171		Suchi Saria, Daphne Koller, Anna Penn: Discovering shared and individual latent structure in multiple time series CoRR abs/1008.2028: (2010)
	2009
170		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
169		Daphne Koller, Nir Friedman: Probabilistic Graphical Models - Principles and Techniques. MIT Press 2009: I-XXXV, 1-1231
168		Stephen Gould, Fernando Amat, Daphne Koller: Alphabet SOUP: A framework for approximate energy minimization. CVPR 2009: 903-910
167		Stephen Gould, Richard Fulton, Daphne Koller: Decomposing a scene into geometric and semantically consistent regions. ICCV 2009: 1-8
166		M. Pawan Kumar, Daphne Koller: Learning a Small Mixture of Trees. NIPS 2009: 1051-1059
165		Stephen Gould, Tianshi Gao, Daphne Koller: Region-based Segmentation and Object Detection. NIPS 2009: 655-663
164		M. Kumar, Daphne Koller: MAP Estimation of Semi-Metric MRFs via Hierarchical Graph Cuts. UAI 2009: 313-320
163		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)
	2008
162		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
161		David Vickrey, Daphne Koller: Sentence Simplification for Semantic Role Labeling. ACL 2008: 344-352
160		Geremy Heitz, Daphne Koller: Learning Spatial Context: Using Stuff to Find Things. ECCV (1) 2008: 30-43
159		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
158		Geremy Heitz, Gal Elidan, Benjamin Packer, Daphne Koller: Shape-Based Object Localization for Descriptive Classification. NIPS 2008: 633-640
157		Geremy Heitz, Stephen Gould, Ashutosh Saxena, Daphne Koller: Cascaded Classification Models: Combining Models for Holistic Scene Understanding. NIPS 2008: 641-648
156		John C. Duchi, Stephen Gould, Daphne Koller: Projected Subgradient Methods for Learning Sparse Gaussians. UAI 2008: 145-152
155		Gal Elidan, Benjamin Packer, Geremy Heitz, Daphne Koller: Convex Point Estimation using Undirected Bayesian Transfer Hierarchies. UAI 2008: 179-186
154		Varun Ganapathi, David Vickrey, John C. Duchi, Daphne Koller: Constrained Approximate Maximum Entropy Learning of Markov Random Fields. UAI 2008: 196-203
153		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)
152		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)
	2007
151		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
150		Suchi Saria, Uri Nodelman, Daphne Koller: Reasoning at the Right Time Granularity. UAI 2007: 326-334
	2006
149		Gal Elidan, Geremy Heitz, Daphne Koller: Learning Object Shape: From Drawings to Images. CVPR (2) 2006: 2064-2071
148		Jim Rodgers, Dragomir Anguelov, Hoi-Cheung Pang, Daphne Koller: Object Pose Detection in Range Scan Data. CVPR (2) 2006: 2445-2452
147		Rajat Raina, Andrew Y. Ng, Daphne Koller: Constructing informative priors using transfer learning. ICML 2006: 713-720
146		Alexis Battle, Gal Chechik, Daphne Koller: Temporal and Cross-Subject Probabilistic Models for fMRI Prediction Tasks. NIPS 2006: 121-128
145		Gal Chechik, Geremy Heitz, Gal Elidan, Pieter Abbeel, Daphne Koller: Max-margin classification of incomplete data. NIPS 2006: 233-240
144		John C. Duchi, Daniel Tarlow, Gal Elidan, Daphne Koller: Using Combinatorial Optimization within Max-Product Belief Propagation. NIPS 2006: 369-376
143		Su-In Lee, Varun Ganapathi, Daphne Koller: Efficient Structure Learning of Markov Networks using $L_1$-Regularization. NIPS 2006: 817-824
142		Tal El-Hay, Nir Friedman, Daphne Koller, Raz Kupferman: Continuous Time Markov Networks. UAI 2006
141		Gal Elidan, Ian McGraw, Daphne Koller: Residual Belief Propagation: Informed Scheduling for Asynchronous Message Passing. UAI 2006
140		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)
139		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)
	2005
138		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
137		David Vickrey, Luke Biewald, Marc Teyssier, Daphne Koller: Word-Sense Disambiguation for Machine Translation. HLT/EMNLP 2005
136		Benjamin Taskar, Vassil Chatalbashev, Daphne Koller, Carlos Guestrin: Learning structured prediction models: a large margin approach. ICML 2005: 896-903
135		Uri Nodelman, Christian R. Shelton, Daphne Koller: Expectation Maximization and Complex Duration Distributions for Continuous Time Bayesian Networks. UAI 2005
134		Pieter Abbeel, Daphne Koller, Andrew Y. Ng: Learning Factor Graphs in Polynomial Time & Sample Complexity. UAI 2005: 1-9
133		Uri Nodelman, Daphne Koller, Christian R. Shelton: Expectation Propagation for Continuous Time Bayesian Networks. UAI 2005: 431-440
132		Marc Teyssier, Daphne Koller: Ordering-Based Search: A Simple and Effective Algorithm for Learning Bayesian Networks. UAI 2005: 548-549
131		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)
130		Alexis Battle, Eran Segal, Daphne Koller: Probabilistic Discovery of Overlapping Cellular Processes and Their Regulation. Journal of Computational Biology 12(7): 909-927 (2005)
129		Eran Segal, Dana Pe'er, Aviv Regev, Daphne Koller, Nir Friedman: Learning Module Networks. Journal of Machine Learning Research 6: 557-588 (2005)
	2004
128		Daphne Koller: Multi-Agent Planning in Complex Uncertain Environments. AAMAS 2004: 2
127		Ben Taskar, Dan Klein, Mike Collins, Daphne Koller, Christopher D. Manning: Max-Margin Parsing. EMNLP 2004: 1-8
126		Benjamin Taskar, Vassil Chatalbashev, Daphne Koller: Learning associative Markov networks. ICML 2004
125		Dragomir Anguelov, Daphne Koller, Evan Parker, Sebastian Thrun: Detecting and Modeling Doors with Mobile Robots. ICRA 2004: 3777-3784
124		Haidong Wang, Eran Segal, Asa Ben-Hur, Daphne Koller, Douglas L. Brutlag: Identifying Protein-Protein Interaction Sites on a Genome-Wide Scale. NIPS 2004
123		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
122		Alexis Battle, Eran Segal, Daphne Koller: Probabilistic discovery of overlapping cellular processes and their regulation. RECOMB 2004: 167-176
121		Dragomir Anguelov, Daphne Koller, Hoi-Cheung Pang, Praveen Srinivasan, Sebastian Thrun: Recovering Articulated Object Models from 3D Range Data. UAI 2004: 18-26
120		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)
119		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)
118		Joseph Y. Halpern, Daphne Koller: Representation Dependence in Probabilistic Inference. J. Artif. Intell. Res. (JAIR) 21: 319-356 (2004)
	2003
117		Benjamin Taskar, Ming Fai Wong, Daphne Koller: Learning on the Test Data: Leveraging Unseen Features. ICML 2003: 744-751
116		Carlos Guestrin, Daphne Koller, Chris Gearhart, Neal Kanodia: Generalizing Plans to New Environments in Relational MDPs. IJCAI 2003: 1003-1010
115		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
114		Ben Blum, Christian R. Shelton, Daphne Koller: A Continuation Method for Nash Equilibria in Structured Games. IJCAI 2003: 757-764
113		Eran Segal, Haidong Wang, Daphne Koller: Discovering molecular pathways from protein interaction and gene expression data. ISMB (Supplement of Bioinformatics) 2003: 264-272
112		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
111		Daphne Koller: Statistical learning from relational data. KDD 2003: 4
110		Benjamin Taskar, Ming Fai Wong, Pieter Abbeel, Daphne Koller: Link Prediction in Relational Data. NIPS 2003
109		Benjamin Taskar, Carlos Guestrin, Daphne Koller: Max-Margin Markov Networks. NIPS 2003
108		Eran Segal, Alexis Battle, Daphne Koller: Decomposing Gene Expression into Cellular Processes. Pacific Symposium on Biocomputing 2003: 89-100
107		Uri Nodelman, Christian R. Shelton, Daphne Koller: Learning Continuous Time Bayesian Networks. UAI 2003: 451-458
106		Eran Segal, Dana Pe'er, Aviv Regev, Daphne Koller, Nir Friedman: Learning Module Networks. UAI 2003: 525-534
105		Fahiem Bacchus, Adam J. Grove, Joseph Y. Halpern, Daphne Koller: From Statistical Knowledge Bases to Degrees of Belief CoRR cs.AI/0307056: (2003)
104		Joseph Y. Halpern, Daphne Koller: Representation Dependence in Probabilistic Inference CoRR cs.AI/0312048: (2003)
103		Daphne Koller, Brian Milch: Multi-agent influence diagrams for representing and solving games. Games and Economic Behavior 45(1): 181-221 (2003)
102		Carlos Guestrin, Daphne Koller, Ronald Parr, Shobha Venkataraman: Efficient Solution Algorithms for Factored MDPs. J. Artif. Intell. Res. (JAIR) 19: 399-468 (2003)
101		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)
	2002
100		Carlos Guestrin, Shobha Venkataraman, Daphne Koller: Context-Specific Multiagent Coordination and Planning with Factored MDPs. AAAI/IAAI 2002: 253-259
99		David Vickrey, Daphne Koller: Multi-Agent Algorithms for Solving Graphical Games. AAAI/IAAI 2002: 345-351
98		Michael Montemerlo, Sebastian Thrun, Daphne Koller, Ben Wegbreit: FastSLAM: A Factored Solution to the Simultaneous Localization and Mapping Problem. AAAI/IAAI 2002: 593-598
97		Eran Segal, Yoseph Barash, Itamar Simon, Nir Friedman, Daphne Koller: From promoter sequence to expression: a probabilistic framework. RECOMB 2002: 263-272
96		Eran Segal, Daphne Koller: Probabilistic hierarchical clustering for biological data. RECOMB 2002: 273-280
95		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
94		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
93		Uri Nodelman, Christian R. Shelton, Daphne Koller: Continuous Time Bayesian Networks. UAI 2002: 378-387
92		Benjamin Taskar, Pieter Abbeel, Daphne Koller: Discriminative Probabilistic Models for Relational Data. UAI 2002: 485-492
91		Lise Getoor, Nir Friedman, Daphne Koller, Benjamin Taskar: Learning Probabilistic Models of Link Structure. Journal of Machine Learning Research 3: 679-707 (2002)
	2001
90		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
89		Lise Getoor, Nir Friedman, Daphne Koller, Benjamin Taskar: Learning Probabilistic Models of Relational Structure. ICML 2001: 170-177
88		Urszula Chajewska, Daphne Koller, Dirk Ormoneit: Learning an Agent's Utility Function by Observing Behavior. ICML 2001: 35-42
87		Daphne Koller, Brian Milch: Multi-Agent Influence Diagrams for Representing and Solving Games. IJCAI 2001: 1027-1036
86		Carlos Guestrin, Daphne Koller, Ronald Parr: Max-norm Projections for Factored MDPs. IJCAI 2001: 673-682
85		Simon Tong, Daphne Koller: Active Learning for Structure in Bayesian Networks. IJCAI 2001: 863-869
84		Benjamin Taskar, Eran Segal, Daphne Koller: Probabilistic Classification and Clustering in Relational Data. IJCAI 2001: 870-878
83		Eran Segal, Benjamin Taskar, Audrey Gasch, Nir Friedman, Daphne Koller: Rich probabilistic models for gene expression. ISMB (Supplement of Bioinformatics) 2001: 243-252
82		Carlos Guestrin, Daphne Koller, Ronald Parr: Multiagent Planning with Factored MDPs. NIPS 2001: 1523-1530
81		Eran Segal, Daphne Koller, Dirk Ormoneit: Probabilistic Abstraction Hierarchies. NIPS 2001: 913-920
80		Lise Getoor, Benjamin Taskar, Daphne Koller: Selectivity Estimation using Probabilistic Models. SIGMOD Conference 2001: 461-472
79		Uri Lerner, Eran Segal, Daphne Koller: Exact Inference in Networks with Discrete Children of Continuous Parents. UAI 2001: 319-328
78		Simon Tong, Daphne Koller: Support Vector Machine Active Learning with Applications to Text Classification. Journal of Machine Learning Research 2: 45-66 (2001)
	2000
77		Urszula Chajewska, Daphne Koller, Ronald Parr: Making Rational Decisions Using Adaptive Utility Elicitation. AAAI/IAAI 2000: 363-369
76		Uri Lerner, Ronald Parr, Daphne Koller, Gautam Biswas: Bayesian Fault Detection and Diagnosis in Dynamic Systems. AAAI/IAAI 2000: 531-537
75		Avi Pfeffer, Daphne Koller: Semantics and Inference for Recursive Probability Models. AAAI/IAAI 2000: 538-544
74		Simon Tong, Daphne Koller: Restricted Bayes Optimal Classifiers. AAAI/IAAI 2000: 658-664
73		Simon Tong, Daphne Koller: Support Vector Machine Active Learning with Application sto Text Classification. ICML 2000: 999-1006
72		Gal Elidan, Noam Lotner, Nir Friedman, Daphne Koller: Discovering Hidden Variables: A Structure-Based Approach. NIPS 2000: 479-485
71		Simon Tong, Daphne Koller: Active Learning for Parameter Estimation in Bayesian Networks. NIPS 2000: 647-653
70		Marie desJardins, Lise Getoor, Daphne Koller: Using Feature Hierarchies in Bayesian Network Learning. SARA 2000: 260-270
69		Nir Friedman, Daphne Koller: Being Bayesian about Network Structure. UAI 2000: 201-210
68		Daphne Koller, Ronald Parr: Policy Iteration for Factored MDPs. UAI 2000: 326-334
67		Brian Milch, Daphne Koller: Probabilistic Models for Agent's Beliefs and Decisions. UAI 2000: 389-396
66		Urszula Chajewska, Daphne Koller: Utilities as Random Variables: Density Estimation and Structure Discovery. UAI 2000: 63-71
65		Nir Friedman, Joseph Y. Halpern, Daphne Koller: First-order conditional logic for default reasoning revisited. ACM Trans. Comput. Log. 1(2): 175-207 (2000)
	1999
64		Xavier Boyen, Daphne Koller: Exploiting the Architecture of Dynamic Systems. AAAI/IAAI 1999: 313-320
63		Nir Friedman, Lise Getoor, Daphne Koller, Avi Pfeffer: Learning Probabilistic Relational Models. IJCAI 1999: 1300-1309
62		Daphne Koller, Ronald Parr: Computing Factored Value Functions for Policies in Structured MDPs. IJCAI 1999: 1332-1339
61		Michael J. Kearns, Daphne Koller: Efficient Reinforcement Learning in Factored MDPs. IJCAI 1999: 740-747
60		Daphne Koller: Probabilistic Relational Models. ILP 1999: 3-13
59		Andrew Y. Ng, Ronald Parr, Daphne Koller: Policy Search via Density Estimation. NIPS 1999: 1022-1028
58		Andrés Rodríguez, Ronald Parr, Daphne Koller: Reinforcement Learning Using Approximate Belief States. NIPS 1999: 1036-1042
57		Daphne Koller, Uri Lerner, Dragomir Anguelov: A General Algorithm for Approximate Inference and Its Application to Hybrid Bayes Nets. UAI 1999: 324-333
56		Avi Pfeffer, Daphne Koller, Brian Milch, Ken T. Takusagawa: SPOOK: A system for probabilistic object-oriented knowledge representation. UAI 1999: 541-550
55		Xavier Boyen, Nir Friedman, Daphne Koller: Discovering the Hidden Structure of Complex Dynamic Systems. UAI 1999: 91-100
	1998
54		Daphne Koller: Structured Probabilistic Models: Bayesian Networks and Beyond. AAAI/IAAI 1998: 1210-1211
53		Nir Friedman, Daphne Koller, Avi Pfeffer: Structured Representation of Complex Stochastic Systems. AAAI/IAAI 1998: 157-164
52		Daphne Koller, Avi Pfeffer: Probabilistic Frame-Based Systems. AAAI/IAAI 1998: 580-587
51		Daphne Koller, Raya Fratkina: Using Learning for Approximation in Stochastic Processes. ICML 1998: 287-295
50		Xavier Boyen, Daphne Koller: Approximate Learning of Dynamic Models. NIPS 1998: 396-402
49		Xavier Boyen, Daphne Koller: Tractable Inference for Complex Stochastic Processes. UAI 1998: 33-42
48		Nir Friedman, Joseph Y. Halpern, Daphne Koller: First-Order Conditional Logic Revisited CoRR cs.AI/9808005: (1998)
	1997
47		Daphne Koller, Alon Y. Levy, Avi Pfeffer: P-CLASSIC: A Tractable Probablistic Description Logic. AAAI/IAAI 1997: 390-397
46		Daphne Koller, David A. McAllester, Avi Pfeffer: Effective Bayesian Inference for Stochastic Programs. AAAI/IAAI 1997: 740-747
45		Daphne Koller, Mehran Sahami: Hierarchically Classifying Documents Using Very Few Words. ICML 1997: 170-178
44		Daphne Koller, Avi Pfeffer: Learning Probabilities for Noisy First-Order Rules. IJCAI 1997: 1316-1323
43		Eric Bauer, Daphne Koller, Yoram Singer: Update Rules for Parameter Estimation in Bayesian Networks. UAI 1997: 3-13
42		Daphne Koller, Avi Pfeffer: Object-Oriented Bayesian Networks. UAI 1997: 302-313
41		Alexander V. Kozlov, Daphne Koller: Nonuniform Dynamic Discretization in Hybrid Networks. UAI 1997: 314-325
40		Daniela Florescu, Daphne Koller, Alon Y. Levy: Using Probabilistic Information in Data Integration. VLDB 1997: 216-225
39		Daphne Koller, Avi Pfeffer: Representations and Solutions for Game-Theoretic Problems. Artif. Intell. 94(1-2): 167-215 (1997)
38		David R. Karger, Daphne Koller: (De)randomized Construction of Small Sample Spaces in NC. J. Comput. Syst. Sci. 55(3): 402-413 (1997)
37		John Binder, Daphne Koller, Stuart J. Russell, Keiji Kanazawa: Adaptive Probabilistic Networks with Hidden Variables. Machine Learning 29(2-3): 213-244 (1997)
	1996
36		Daphne Koller, Joseph Y. Halpern: Irrelevance and Conditioning in First-Order Probabilistic Logic. AAAI/IAAI, Vol. 1 1996: 569-576
35		Nir Friedman, Joseph Y. Halpern, Daphne Koller: First-Order Conditional Logic Revisited. AAAI/IAAI, Vol. 2 1996: 1305-1312
34		Daphne Koller, Mehran Sahami: Toward Optimal Feature Selection. ICML 1996: 284-292
33		Craig Boutilier, Nir Friedman, Moisés Goldszmidt, Daphne Koller: Context-Specific Independence in Bayesian Networks. UAI 1996: 115-123
32		Daphne Koller: Structured Representations and Intractability. ACM Comput. Surv. 28(4es): 8 (1996)
31		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)
30		Adam J. Grove, Joseph Y. Halpern, Daphne Koller: Asymptotic Conditional Probabilities: The Non-Unary Case. J. Symb. Log. 61(1): 250-276 (1996)
29		Adam J. Grove, Joseph Y. Halpern, Daphne Koller: Asymptotic Conditional Probabilities: The Unary Case. SIAM J. Comput. 25(1): 1-51 (1996)
	1995
28		Sabine Glesner, Daphne Koller: Constructing Flexible Dynamic Belief Networks from First-Order Probalistic Knowledge Bases. ECSQARU 1995: 217-226
27		Quang-Tuan Luong, Joseph Weber, Daphne Koller, Jitendra Malik: An Integrated Stereo-Based Approach to Automatic Vehicle Guidance. ICCV 1995: 52-57
26		Stuart J. Russell, John Binder, Daphne Koller, Keiji Kanazawa: Local Learning in Probabilistic Networks with Hidden Variables. IJCAI 1995: 1146-1152
25		Daphne Koller, Avi Pfeffer: Generating and Solving Imperfect Information Games. IJCAI 1995: 1185-1193
24		Joseph Y. Halpern, Daphne Koller: Representation Dependence in Probabilistic Inference. IJCAI 1995: 1853-1861
23		Joan Feigenbaum, Daphne Koller, Peter W. Shor: A Game-Theoretic Classification of Interactive Complexity Classes. Structure in Complexity Theory Conference 1995: 227-237
22		Keiji Kanazawa, Daphne Koller, Stuart J. Russell: Stochastic simulation algorithms for dynamic probabilistic networks. UAI 1995: 346-351
	1994
21		Fahiem Bacchus, Adam J. Grove, Joseph Y. Halpern, Daphne Koller: Forming Beliefs about a Changing World. AAAI 1994: 222-229
20		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
19		David R. Karger, Daphne Koller: (De)randomized Construction of Small Sample Spaces in \calNC FOCS 1994: 252-263
18		Daphne Koller, Nimrod Megiddo, Bernhard von Stengel: Fast algorithms for finding randomized strategies in game trees. STOC 1994: 750-759
17		Fahiem Bacchus, Adam J. Grove, Joseph Y. Halpern, Daphne Koller: Generating New Beliefs from Old. UAI 1994: 37-45
16		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)
15		Adam J. Grove, Joseph Y. Halpern, Daphne Koller: Random Worlds and Maximum Entropy. J. Artif. Intell. Res. (JAIR) 2: 33-88 (1994)
14		Daphne Koller, Nimrod Megiddo: Constructing Small Sample Spaces Satisfying Given Constraints. SIAM J. Discrete Math. 7(2): 260-274 (1994)
	1993
13		Fahiem Bacchus, Adam J. Grove, Joseph Y. Halpern, Daphne Koller: Generating Degrees of Belief from Statistical Information: An Overview. FSTTCS 1993: 318-325
12		Fahiem Bacchus, Adam J. Grove, Joseph Y. Halpern, Daphne Koller: Statistical Foundations for Default Reasoning. IJCAI 1993: 563-569
11		Daphne Koller, Nimrod Megiddo: Constructing small sample spaces satisfying given constraints. STOC 1993: 268-277
10		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)
	1992
9		Fahiem Bacchus, Adam J. Grove, Daphne Koller, Joseph Y. Halpern: From Statistics to Beliefs. AAAI 1992: 602-608
8		Daphne Koller, Joseph Y. Halpern: A Logic for Approximate Reasoning. KR 1992: 153-164
7		Adam J. Grove, Joseph Y. Halpern, Daphne Koller: Random Worlds and Maximum Entropy LICS 1992: 22-33
6		Adam J. Grove, Joseph Y. Halpern, Daphne Koller: Asymptotic Conditional Probabilities for First-Order Logic STOC 1992: 294-305
	1991
5		David R. Karger, Daphne Koller, Steven J. Phillips: Finding the Hidden Path: Time Bounds for All-Pairs Shortest Paths FOCS 1991: 560-568
4		Adam J. Grove, Daphne Koller: Probability Estimation in Face of Irrelevant Information. UAI 1991: 127-134
3		Amotz Bar-Noy, Danny Dolev, Daphne Koller, David Peleg: Fault-Tolerant Critical Section Management in Asynchronous Environments Inf. Comput. 95(1): 1-20 (1991)
	1989
2		Amotz Bar-Noy, Danny Dolev, Daphne Koller, David Peleg: Fault-Tolerant Critical Section Management in Asynchronous Networks. WDAG 1989: 13-23
	1987
1		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

1	Pieter Abbeel	[92] [110] [134] [139] [145] [152]
2	Fernando Amat	[168]
3	Dragomir Anguelov	[57] [95] [121] [123] [125] [131] [138] [148]
4	Hagit Attiya (Chagit Attiya)	[1]
5	Fahiem Bacchus	[9] [12] [13] [16] [17] [21] [31] [105]
6	Amotz Bar-Noy	[1] [2] [3]
7	Yoseph Barash	[97]
8	Alexis Battle	[108] [122] [130] [146]
9	Eric Bauer	[43]
10	Asa Ben-Hur	[124]
11	Yoshua Bengio	[170]
12	Luke Biewald	[137]
13	John Binder	[26] [37]
14	Gautam Biswas	[76]
15	Rahul Biswas	[95]
16	Paulo Blikstein	[196]
17	Ben Blum	[114] [140] [185]
18	Léon Bottou	[170]
19	Craig Boutilier	[33]
20	Xavier Boyen	[49] [50] [55] [64]
21	Jack S. Breese	[90]
22	Aaron Bronzan	[159]
23	Douglas L. Brutlag	[124]
24	Urszula Chajewska	[66] [77] [88]
25	Vassil Chatalbashev	[126] [136] [138] [151]
26	Gal Chechik	[145] [146] [152]
27	William Choi	[159]
28	David Cohen	[153]
29	Mike Collins	[127]
30	Steve Cooper	[196]
31	James Davis	[123] [131]
32	Danny Dolev	[1] [2] [3]
33	Andrew Duchi	[188]
34	John C. Duchi	[144] [154] [156]
35	Hugh F. Durrant-Whyte	[119]
36	Tal El-Hay	[142]
37	Gal Elidan	[72] [141] [144] [145] [149] [152] [153] [155] [158] [163]
38	Joan Feigenbaum	[23]
39	Daniela Florescu	[40]
40	Raya Fratkina	[51]
41	Nir Friedman	[33] [35] [48] [53] [55] [63] [65] [69] [72] [83] [89] [91] [97] [101] [106] [129] [142] [169]
42	Richard Fulton	[167]
43	Varun Ganapathi	[143] [154] [174] [180]
44	Tianshi Gao	[165] [187] [189] [190] [193]
45	Audrey Gasch	[83]
46	Chris Gearhart	[116]
47	Lise Getoor	[63] [70] [80] [89] [91] [120]
48	Zoubin Ghahramani	[119]
49	Sabine Glesner	[28]
50	Moisés Goldszmidt	[33]
51	Danny Goodman	[194]
52	Stephen Gould	[153] [156] [157] [165] [167] [168] [175] [177] [178] [179] [182]
53	Adam J. Grove	[4] [6] [7] [9] [12] [13] [15] [16] [17] [21] [29] [30] [31] [105]
54	Carlos Guestrin	[82] [86] [100] [102] [109] [116] [136] [186]
55	Dinkar Gupta	[138]
56	Alon Y. Halevy (Alon Y. Levy)	[40] [47]
57	Joseph Y. Halpern	[6] [7] [8] [9] [12] [13] [15] [16] [17] [21] [24] [29] [30] [31] [35] [36] [48] [65] [104] [105] [118]
58	Geremy Heitz	[138] [145] [149] [152] [155] [157] [158] [160] [163]
59	Timothy Huang	[20]
60	Vladimir Jojic	[172] [175] [184]
61	Keiji Kanazawa	[22] [26] [37]
62	Neal Kanodia	[116]
63	David R. Karger	[5] [10] [19] [38]
64	Michael Kearns (Michael J. Kearns, Michael S. Kearns)	[61]
65	Oscar Kipersztok	[183]
66	Dan Klein	[127]
67	Alexander V. Kozlov	[41]
68	Aman Kumar	[159]
69	M. Kumar	[164]
70	M. Pawan Kumar	[166] [173] [181] [191] [194] [195]
71	Raz Kupferman	[142]
72	Jonathan Laserson	[172]
73	Su-In Lee	[143] [151]
74	Uri Lerner	[57] [76] [79] [94]
75	Benson Limketkai	[95]
76	Cliff Chiung-Yu Lin	[176]
77	Beyang Liu	[182]
78	Yufeng Liu	[119]
79	Noam Lotner	[72]
80	Quang-Tuan Luong	[27]
81	Jitendra Malik	[20] [27]
82	Christopher D. Manning	[127]
83	Scott Maricia	[94]
84	David A. McAllester	[46]
85	Ian McGraw	[141]
86	Sheila A. McIlraith	[94]
87	Nimrod Megiddo	[11] [14] [18]
88	Brian Milch	[56] [67] [87] [103]
89	Kevin Miller	[194]
90	Michael Montemerlo	[98] [115]
91	Brooks Moses	[94]
92	Andrew Y. Ng	[59] [119] [134] [138] [139] [147]
93	Uri Nodelman	[93] [107] [133] [135] [150]
94	Gary H. Ogasawara	[20]
95	Dirk Ormoneit	[81] [88]
96	Benjamin Packer	[155] [158] [163] [173] [177] [193] [194]
97	Hoi-Cheung Pang	[121] [123] [148]
98	Evan Parker	[125]
99	Ronald Parr	[58] [59] [62] [68] [76] [77] [82] [86] [102] [186]
100	Dana Pe'er	[106] [129]
101	David Peleg	[1] [2] [3]
102	Anna Penn	[171]
103	Avi Pfeffer	[25] [39] [42] [44] [46] [47] [52] [53] [56] [63] [75]
104	Steven J. Phillips	[5] [10]
105	Chris Piech	[196]
106	Christian Plagemann	[174] [180]
107	John C. Platt	[162]
108	Dan Preston	[191]
109	Rajat Raina	[147]
110	B. Rao	[20]
111	Aviv Regev	[106] [129]
112	Rüdiger Reischuk	[1]
113	Jeanne T. Rhee	[120]
114	Jim Rodgers	[131] [148] [153]
115	Andrés Rodríguez	[58]
116	Sam T. Roweis	[162]
117	Stuart J. Russell	[20] [22] [26] [37]
118	Mehran Sahami	[34] [45] [196]
119	Suchi Saria	[150] [171] [184] [188]
120	Ashutosh Saxena	[157]
121	Dale Schuurmans	[170]
122	Eran Segal	[79] [81] [83] [84] [96] [97] [106] [108] [112] [113] [122] [124] [129] [130]
123	Christian R. Shelton	[93] [107] [114] [133] [135] [140] [185]
124	Peter W. Shor	[23]
125	Itamar Simon	[97]
126	Yoram Singer	[43] [162]
127	Peter Small	[120]
128	Praveen Srinivasan	[121] [123] [131]
129	Bernhard von Stengel	[18]
130	Ken T. Takusagawa	[56]
131	Daniel Tarlow	[144]
132	Benjamin Taskar (Ben Taskar)	[80] [83] [84] [89] [91] [92] [109] [110] [117] [126] [127] [136] [138]
133	Marc Teyssier	[132] [137]
134	Sebastian Thrun	[95] [98] [115] [119] [121] [123] [125] [131] [174] [180]
135	Simon Tong	[71] [73] [74] [78] [85]
136	Haithem Turki	[191]
137	Jason Turner-Maier	[159]
138	S. Venkataraman	[186]
139	Shobha Venkataraman	[100] [102]
140	David Vickrey	[99] [137] [151] [154] [159] [161] [176] [183]
141	Arthur Wang	[159]
142	Haidong Wang	[113] [124]
143	Huayan Wang	[178] [179] [192]
144	Joseph Weber	[20] [27]
145	Ben Wegbreit	[98] [115]
146	Ming Fai Wong	[110] [117]
147	R. Yelensky	[112]
148	Marie desJardins	[70]

Colors in the list of coauthors

Last update Sat Jun 2 20:57:36 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page