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Daphne Koller Vis

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*2009
158 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 MIT Press 2009
2008
157 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 MIT Press 2008
156EEGeremy Heitz, Daphne Koller: Learning Spatial Context: Using Stuff to Find Things. ECCV (1) 2008: 30-43
155EEDavid 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
154EEGeremy Heitz, Gal Elidan, Benjamin Packer, Daphne Koller: Shape-Based Object Localization for Descriptive Classification. NIPS 2008: 633-640
153EEGeremy Heitz, Stephen Gould, Ashutosh Saxena, Daphne Koller: Cascaded Classification Models: Combining Models for Holistic Scene Understanding. NIPS 2008: 641-648
152EEJohn Duchi, Stephen Gould, Daphne Koller: Projected Subgradient Methods for Learning Sparse Gaussians. UAI 2008: 145-152
151EEGal Elidan, Benjamin Packer, Geremy Heitz, Daphne Koller: Convex Point Estimation using Undirected Bayesian Transfer Hierarchies. UAI 2008: 179-186
150EEVarun Ganapathi, David Vickrey, John Duchi, Daphne Koller: Constrained Approximate Maximum Entropy Learning of Markov Random Fields. UAI 2008: 196-203
149EEStephen 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)
2007
148EESu-In Lee, Vassil Chatalbashev, David Vickrey, Daphne Koller: Learning a meta-level prior for feature relevance from multiple related tasks. ICML 2007: 489-496
2006
147EEGal Elidan, Geremy Heitz, Daphne Koller: Learning Object Shape: From Drawings to Images. CVPR (2) 2006: 2064-2071
146EEJim Rodgers, Dragomir Anguelov, Hoi-Cheung Pang, Daphne Koller: Object Pose Detection in Range Scan Data. CVPR (2) 2006: 2445-2452
145EERajat Raina, Andrew Y. Ng, Daphne Koller: Constructing informative priors using transfer learning. ICML 2006: 713-720
144EEAlexis Battle, Gal Chechik, Daphne Koller: Temporal and Cross-Subject Probabilistic Models for fMRI Prediction Tasks. NIPS 2006: 121-128
143EEGal Chechik, Geremy Heitz, Gal Elidan, Pieter Abbeel, Daphne Koller: Max-margin classification of incomplete data. NIPS 2006: 233-240
142EEJohn Duchi, Daniel Tarlow, Gal Elidan, Daphne Koller: Using Combinatorial Optimization within Max-Product Belief Propagation. NIPS 2006: 369-376
141EESu-In Lee, Varun Ganapathi, Daphne Koller: Efficient Structure Learning of Markov Networks using $L_1$-Regularization. NIPS 2006: 817-824
140EETal El-Hay, Nir Friedman, Daphne Koller, Raz Kupferman: Continuous Time Markov Networks. UAI 2006
139EEGal Elidan, Ian McGraw, Daphne Koller: Residual Belief Propagation: Informed Scheduling for Asynchronous Message Passing. UAI 2006
138EEBen Blum, Christian R. Shelton, Daphne Koller: A Continuation Method for Nash Equilibria in Structured Games. J. Artif. Intell. Res. (JAIR) 25: 457-502 (2006)
137EEPieter 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
136EEDragomir 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
135EEDavid Vickrey, Luke Biewald, Marc Teyssier, Daphne Koller: Word-Sense Disambiguation for Machine Translation. HLT/EMNLP 2005
134EEBenjamin Taskar, Vassil Chatalbashev, Daphne Koller, Carlos Guestrin: Learning structured prediction models: a large margin approach. ICML 2005: 896-903
133EEUri Nodelman, Christian R. Shelton, Daphne Koller: Expectation Maximization and Complex Duration Distributions for Continuous Time Bayesian Networks. UAI 2005
132EEPieter Abbeel, Daphne Koller, Andrew Y. Ng: Learning Factor Graphs in Polynomial Time & Sample Complexity. UAI 2005: 1-9
131EEUri Nodelman, Daphne Koller, Christian R. Shelton: Expectation Propagation for Continuous Time Bayesian Networks. UAI 2005: 431-440
130EEMarc Teyssier, Daphne Koller: Ordering-Based Search: A Simple and Effective Algorithm for Learning Bayesian Networks. UAI 2005: 548-549
129EEDragomir 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)
128EEAlexis Battle, Eran Segal, Daphne Koller: Probabilistic Discovery of Overlapping Cellular Processes and Their Regulation. Journal of Computational Biology 12(7): 909-927 (2005)
127EEEran Segal, Dana Pe'er, Aviv Regev, Daphne Koller, Nir Friedman: Learning Module Networks. Journal of Machine Learning Research 6: 557-588 (2005)
2004
126EEDaphne Koller: Multi-Agent Planning in Complex Uncertain Environments. AAMAS 2004: 2
125EEBenjamin Taskar, Vassil Chatalbashev, Daphne Koller: Learning associative Markov networks. ICML 2004
124 Dragomir Anguelov, Daphne Koller, Evan Parker, Sebastian Thrun: Detecting and Modeling Doors with Mobile Robots. ICRA 2004: 3777-3784
123EEHaidong Wang, Eran Segal, Asa Ben-Hur, Daphne Koller, Douglas L. Brutlag: Identifying Protein-Protein Interaction Sites on a Genome-Wide Scale. NIPS 2004
122EEDragomir Anguelov, Praveen Srinivasan, Hoi-Cheung Pang, Daphne Koller, Sebastian Thrun, James Davis: The Correlated Correspondence Algorithm for Unsupervised Registration of Nonrigid Surfaces. NIPS 2004
121EEAlexis Battle, Eran Segal, Daphne Koller: Probabilistic discovery of overlapping cellular processes and their regulation. RECOMB 2004: 167-176
120EEDragomir Anguelov, Daphne Koller, Hoi-Cheung Pang, Praveen Srinivasan, Sebastian Thrun: Recovering Articulated Object Models from 3D Range Data. UAI 2004: 18-26
119EELise Getoor, Jeanne T. Rhee, Daphne Koller, Peter Small: Understanding tuberculosis epidemiology using structured statistical models. Artificial Intelligence in Medicine 30(3): 233-256 (2004)
118EESebastian 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)
117EEJoseph Y. Halpern, Daphne Koller: Representation Dependence in Probabilistic Inference. J. Artif. Intell. Res. (JAIR) 21: 319-356 (2004)
2003
116 Benjamin Taskar, Ming Fai Wong, Daphne Koller: Learning on the Test Data: Leveraging Unseen Features. ICML 2003: 744-751
115 Carlos Guestrin, Daphne Koller, Chris Gearhart, Neal Kanodia: Generalizing Plans to New Environments in Relational MDPs. IJCAI 2003: 1003-1010
114 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
113 Ben Blum, Christian R. Shelton, Daphne Koller: A Continuation Method for Nash Equilibria in Structured Games. IJCAI 2003: 757-764
112EEEran Segal, Haidong Wang, Daphne Koller: Discovering molecular pathways from protein interaction and gene expression data. ISMB (Supplement of Bioinformatics) 2003: 264-272
111EEEran Segal, R. Yelensky, Daphne Koller: Genome-wide discovery of transcriptional modules from DNA sequence and gene expression. ISMB (Supplement of Bioinformatics) 2003: 273-282
110EEDaphne Koller: Statistical learning from relational data. KDD 2003: 4
109EEBenjamin Taskar, Ming Fai Wong, Pieter Abbeel, Daphne Koller: Link Prediction in Relational Data. NIPS 2003
108EEBenjamin Taskar, Carlos Guestrin, Daphne Koller: Max-Margin Markov Networks. NIPS 2003
107EEEran Segal, Alexis Battle, Daphne Koller: Decomposing Gene Expression into Cellular Processes. Pacific Symposium on Biocomputing 2003: 89-100
106 Uri Nodelman, Christian R. Shelton, Daphne Koller: Learning Continuous Time Bayesian Networks. UAI 2003: 451-458
105 Eran Segal, Dana Pe'er, Aviv Regev, Daphne Koller, Nir Friedman: Learning Module Networks. UAI 2003: 525-534
104EEFahiem Bacchus, Adam J. Grove, Joseph Y. Halpern, Daphne Koller: From Statistical Knowledge Bases to Degrees of Belief CoRR cs.AI/0307056: (2003)
103EEJoseph Y. Halpern, Daphne Koller: Representation Dependence in Probabilistic Inference CoRR cs.AI/0312048: (2003)
102EECarlos 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
97EEEran Segal, Yoseph Barash, Itamar Simon, Nir Friedman, Daphne Koller: From promoter sequence to expression: a probabilistic framework. RECOMB 2002: 263-272
96EEEran 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
91EELise 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
82EECarlos Guestrin, Daphne Koller, Ronald Parr: Multiagent Planning with Factored MDPs. NIPS 2001: 1523-1530
81EEEran Segal, Daphne Koller, Dirk Ormoneit: Probabilistic Abstraction Hierarchies. NIPS 2001: 913-920
80EELise Getoor, Benjamin Taskar, Daphne Koller: Selectivity Estimation using Probabilistic Models. SIGMOD Conference 2001: 461-472
79EEUri Lerner, Eran Segal, Daphne Koller: Exact Inference in Networks with Discrete Children of Continuous Parents. UAI 2001: 319-328
78EESimon 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
70EEMarie desJardins, Lise Getoor, Daphne Koller: Using Feature Hierarchies in Bayesian Network Learning. SARA 2000: 260-270
69EENir Friedman, Daphne Koller: Being Bayesian about Network Structure. UAI 2000: 201-210
68EEDaphne Koller, Ronald Parr: Policy Iteration for Factored MDPs. UAI 2000: 326-334
67EEBrian Milch, Daphne Koller: Probabilistic Models for Agent's Beliefs and Decisions. UAI 2000: 389-396
66EEUrszula Chajewska, Daphne Koller: Utilities as Random Variables: Density Estimation and Structure Discovery. UAI 2000: 63-71
65EENir 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
60EEDaphne Koller: Probabilistic Relational Models. ILP 1999: 3-13
59EEAndrew Y. Ng, Ronald Parr, Daphne Koller: Policy Search via Density Estimation. NIPS 1999: 1022-1028
58EEAndrés Rodríguez, Ronald Parr, Daphne Koller: Reinforcement Learning Using Approximate Belief States. NIPS 1999: 1036-1042
57EEDaphne Koller, Uri Lerner, Dragomir Anguelov: A General Algorithm for Approximate Inference and Its Application to Hybrid Bayes Nets. UAI 1999: 324-333
56EEAvi Pfeffer, Daphne Koller, Brian Milch, Ken T. Takusagawa: SPOOK: A system for probabilistic object-oriented knowledge representation. UAI 1999: 541-550
55EEXavier 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
50EEXavier Boyen, Daphne Koller: Approximate Learning of Dynamic Models. NIPS 1998: 396-402
49EEXavier Boyen, Daphne Koller: Tractable Inference for Complex Stochastic Processes. UAI 1998: 33-42
48EENir 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
43EEEric Bauer, Daphne Koller, Yoram Singer: Update Rules for Parameter Estimation in Bayesian Networks. UAI 1997: 3-13
42EEDaphne Koller, Avi Pfeffer: Object-Oriented Bayesian Networks. UAI 1997: 302-313
41EEAlexander V. Kozlov, Daphne Koller: Nonuniform Dynamic Discretization in Hybrid Networks. UAI 1997: 314-325
40EEDaniela Florescu, Daphne Koller, Alon Y. Levy: Using Probabilistic Information in Data Integration. VLDB 1997: 216-225
39EEDaphne 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
33EECraig 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)
31EEFahiem 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
27EEQuang-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
22EEKeiji 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
18EEDaphne Koller, Nimrod Megiddo, Bernhard von Stengel: Fast algorithms for finding randomized strategies in game trees. STOC 1994: 750-759
17EEFahiem 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)
14EEDaphne Koller, Nimrod Megiddo: Constructing Small Sample Spaces Satisfying Given Constants. SIAM J. Discrete Math. 7(2): 260-274 (1994)
1993
13EEFahiem 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
11EEDaphne 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
4EEAdam 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
2EEAmotz 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

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

Colors in the list of coauthors

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)