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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)