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Semantic ScholarDaphne Koller
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- affiliation: Stanford University, USA
- award: ACM Prize in Computing, 2007
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2010 – today
- 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 Battle, Sara Mostafavi:
Sharing and Specificity of Co-expression Networks across 35 Human Tissues. PLoS Computational Biology 11(5) (2015) - [c173]
- 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) - [c172]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 - [c171]Kevin D. Tang, Bangpeng Yao, Fei-Fei Li, Daphne Koller:
Combining the Right Features for Complex Event Recognition. ICCV 2013: 2696-2703 - [c170]Huayan Wang, Daphne Koller:
A Fast and Exact Energy Minimization Algorithm for Cycle MRFs. ICML (3) 2013: 190-198 - [c169]Huayan Wang, Daphne Koller:
Subproblem-Tree Calibration: A Unified Approach to Max-Product Message Passing. ICML (2) 2013: 190-198 - [c168]
- [c167]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]
- [i37]
- [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]
- [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 J. 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) - [c166]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 - [c165]Kevin D. Tang, Fei-Fei Li, Daphne Koller:
Learning latent temporal structure for complex event detection. CVPR 2012: 1250-1257 - [c164]Benjamin Packer, Kate Saenko, Daphne Koller:
A combined pose, object, and feature model for action understanding. CVPR 2012: 1378-1385 - [c163]Tianshi Gao, Michael Stark, Daphne Koller:
What Makes a Good Detector? - Structured Priors for Learning from Few Examples. ECCV (5) 2012: 354-367 - [c162]Varun Ganapathi, Christian Plagemann, Daphne Koller, Sebastian Thrun:
Real-Time Human Pose Tracking from Range Data. ECCV (6) 2012: 738-751 - [c161]M. Pawan Kumar, Benjamin Packer, Daphne Koller:
Modeling Latent Variable Uncertainty for Loss-based Learning. ICML 2012 - [c160]Kevin D. Tang, Vignesh Ramanathan, Fei-Fei Li, Daphne Koller:
Shifting Weights: Adapting Object Detectors from Image to Video. NIPS 2012: 647-655 - [c159]Chris Piech, Mehran Sahami, Daphne Koller, Steve Cooper, Paulo Blikstein:
Modeling how students learn to program. SIGCSE 2012: 153-160 - [c158]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. Journal of Computational Biology 18(3): 429-443 (2011) - [c157]Tianshi Gao, Benjamin Packer, Daphne Koller:
A segmentation-aware object detection model with occlusion handling. CVPR 2011: 1361-1368 - [c156]Huayan Wang, Daphne Koller:
Multi-level inference by relaxed dual decomposition for human pose segmentation. CVPR 2011: 2433-2440 - [c155]M. Pawan Kumar, Haithem Turki, Dan Preston, Daphne Koller:
Learning specific-class segmentation from diverse data. ICCV 2011: 1800-1807 - [c154]Tianshi Gao, Daphne Koller:
Discriminative learning of relaxed hierarchy for large-scale visual recognition. ICCV 2011: 2072-2079 - [c153]Tianshi Gao, Daphne Koller:
Multiclass Boosting with Hinge Loss based on Output Coding. ICML 2011: 569-576 - [c152]Suchi Saria, Andrew Duchi, Daphne Koller:
Discovering Deformable Motifs in Continuous Time Series Data. IJCAI 2011: 1465-1471 - [c151]Tianshi Gao, Daphne Koller:
Active Classification based on Value of Classifier. NIPS 2011: 1062-1070 - [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 (Short Papers) 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. International Journal of Computer Vision 84(1): 40-62 (2009) - [j29]Gal Chechik, Daphne Koller:
Timing of Gene Expression Responses to Environmental Changes. Journal of Computational Biology 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]
- [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. International Journal of Computer Vision 80(3): 300-316 (2008) - [j27]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) - [c132]
- [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. Journal of Machine Learning Research 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 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]
- [c113]Gal Elidan, Ian McGraw, Daphne Koller:
Residual Belief Propagation: Informed Scheduling for Asynchronous Message Passing. UAI 2006 - 2005
- [j24]Alexis Battle, Eran Segal, Daphne Koller:
Probabilistic Discovery of Overlapping Cellular Processes and Their Regulation. Journal of Computational Biology 12(7): 909-927 (2005) - [j23]Eran Segal, Dana Pe'er, Aviv Regev, Daphne Koller, Nir Friedman:
Learning Module Networks. Journal of Machine Learning Research 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]