Daphne Koller

According to our database, Daphne Koller authored at least 208 papers between 1987 and 2019.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2019

Inferring Multidimensional Rates of Aging from Cross-Sectional Data.

Emma Pierson, Pang Wei Koh, Tatsunori B. Hashimoto, Daphne Koller, Jure Leskovec, Nick Eriksson, Percy Liang

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Inferring Multi-Dimensional Rates of Aging from Cross-Sectional Data.

Emma Pierson, Pang Wei Koh, Tatsunori B. Hashimoto, Daphne Koller, Jure Leskovec, Nicholas Eriksson, Percy Liang

CoRR, 2018

2015

Sharing and Specificity of Co-expression Networks across 35 Human Tissues.

Emma Pierson, Daphne Koller, Alexis J. Battle, Sara Mostafavi

PLoS Comput. Biol., 2015

Parameter Estimation and Energy Minimization for Region-Based Semantic Segmentation.

M. Pawan Kumar, Haithem Turki, Dan Preston, Daphne Koller

IEEE Trans. Pattern Anal. Mach. Intell., 2015

MOOCS: What Have We Learned?

Daphne Koller

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

2014

Offering Verified Credentials in Massive Open Online Courses: MOOCs and technology to advance learning and learning research (Ubiquity symposium).

Andrew L. Maas, Chris Heather, Chuong B. Do, Relly Brandman, Daphne Koller, Andrew Y. Ng

Ubiquity, 2014

2013

Peer and self assessment in massive online classes.

Chinmay Eishan Kulkarni, Pang Wei Wei, Huy Le, Daniel Jin hao Chia, Kathryn Papadopoulos, Justin Cheng, Daphne Koller, Scott R. Klemmer

ACM Trans. Comput. Hum. Interact., 2013

Proceedings of the Seventeenth Conference on Uncertainty in Artificial Intelligence (2001)

John S. Breese, Daphne Koller

CoRR, 2013

Probabilistic Models for Agents' Beliefs and Decisions

Brian Milch, Daphne Koller

CoRR, 2013

Discriminative learning with latent variables for cluttered indoor scene understanding.

Huayan Wang, Stephen Gould, Daphne Koller

Commun. ACM, 2013

Crowd-scale interactive formal reasoning and analytics.

Ethan Fast, Colleen Lee, Alex Aiken, Michael S. Bernstein, Daphne Koller, Eric Smith

Proceedings of the 26th Annual ACM Symposium on User Interface Software and Technology, 2013

TRECVID 2013 GENIE: Multimedia Event Detection and Recounting.

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

Proceedings of the 2013 TREC Video Retrieval Evaluation, 2013

The online revolution: education for everyone.

Andrew Y. Ng, Daphne Koller

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Subproblem-Tree Calibration: A Unified Approach to Max-Product Message Passing.

Huayan Wang, Daphne Koller

Proceedings of the 30th International Conference on Machine Learning, 2013

A Fast and Exact Energy Minimization Algorithm for Cycle MRFs.

Huayan Wang, Daphne Koller

Proceedings of the 30th International Conference on Machine Learning, 2013

Combining the Right Features for Complex Event Recognition.

Kevin D. Tang, Bangpeng Yao, Li Fei-Fei, Daphne Koller

Proceedings of the IEEE International Conference on Computer Vision, 2013

Tuned Models of Peer Assessment in MOOCs.

Chris Piech, Jonathan Huang, Zhenghao Chen, Chuong B. Do, Andrew Y. Ng, Daphne Koller

Proceedings of the 6th International Conference on Educational Data Mining, 2013

2012

A probabilistic model for component-based shape synthesis.

Evangelos Kalogerakis, Siddhartha Chaudhuri, Daphne Koller, Vladlen Koltun

ACM Trans. Graph., 2012

Max-Margin Min-Entropy Models.

Kevin Miller, M. Pawan Kumar, Benjamin Packer, Danny Goodman, Daphne Koller

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

TRECVID 2012 GENIE: Multimedia Event Detection and Recounting.

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

Proceedings of the 2012 TREC Video Retrieval Evaluation, 2012

Modeling how students learn to program.

Chris Piech, Mehran Sahami, Daphne Koller, Steve Cooper, Paulo Blikstein

Proceedings of the 43rd ACM technical symposium on Computer science education, 2012

Shifting Weights: Adapting Object Detectors from Image to Video.

Kevin D. Tang, Vignesh Ramanathan, Li Fei-Fei, Daphne Koller

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Modeling Latent Variable Uncertainty for Loss-based Learning.

M. Pawan Kumar, Benjamin Packer, Daphne Koller

Proceedings of the 29th International Conference on Machine Learning, 2012

What Makes a Good Detector? - Structured Priors for Learning from Few Examples.

Tianshi Gao, Michael Stark, Daphne Koller

Proceedings of the Computer Vision - ECCV 2012, 2012

Real-Time Human Pose Tracking from Range Data.

Varun Ganapathi, Christian Plagemann, Daphne Koller, Sebastian Thrun

Proceedings of the Computer Vision - ECCV 2012, 2012

Learning latent temporal structure for complex event detection.

Kevin D. Tang, Li Fei-Fei, Daphne Koller

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

A combined pose, object, and feature model for action understanding.

Benjamin Packer, Kate Saenko, Daphne Koller

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Fine-Grained Categorization for 3D Scene Understanding.

Michael Stark, Jonathan Krause, Bojan Pepik, David Meger, James J. Little, Bernt Schiele, Daphne Koller

Proceedings of the British Machine Vision Conference, 2012

2011

Convex envelopes of complexity controlling penalties: the case against premature envelopment.

Vladimir Jojic, Suchi Saria, Daphne Koller

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Genovo: <i>De Novo</i> Assembly for Metagenomes.

Jonathan Laserson, Vladimir Jojic, Daphne Koller

J. Comput. Biol., 2011

GENIE TRECVID 2011 Multimedia Event Detection: Late-Fusion Approaches to Combine Multiple Audio-Visual features.

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

Proceedings of the 2011 TREC Video Retrieval Evaluation, 2011

Active Classification based on Value of Classifier.

Tianshi Gao, Daphne Koller

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Discovering Deformable Motifs in Continuous Time Series Data.

Suchi Saria, Andrew Duchi, Daphne Koller

Proceedings of the IJCAI 2011, 2011

Multiclass Boosting with Hinge Loss based on Output Coding.

Tianshi Gao, Daphne Koller

Proceedings of the 28th International Conference on Machine Learning, 2011

Learning specific-class segmentation from diverse data.

M. Pawan Kumar, Haithem Turki, Dan Preston, Daphne Koller

Proceedings of the IEEE International Conference on Computer Vision, 2011

Discriminative learning of relaxed hierarchy for large-scale visual recognition.

Tianshi Gao, Daphne Koller

Proceedings of the IEEE International Conference on Computer Vision, 2011

Multi-level inference by relaxed dual decomposition for human pose segmentation.

Huayan Wang, Daphne Koller

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

A segmentation-aware object detection model with occlusion handling.

Tianshi Gao, Benjamin Packer, Daphne Koller

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010

Discovering shared and individual latent structure in multiple time series

Suchi Saria, Daphne Koller, Anna Penn

CoRR, 2010

Self-Paced Learning for Latent Variable Models.

M. Pawan Kumar, Benjamin Packer, Daphne Koller

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Real-time identification and localization of body parts from depth images.

Christian Plagemann, Varun Ganapathi, Daphne Koller, Sebastian Thrun

Proceedings of the IEEE International Conference on Robotics and Automation, 2010

Non-Local Contrastive Objectives.

David Vickrey, Cliff Chiung-Yu Lin, Daphne Koller

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Accelerated dual decomposition for MAP inference.

Vladimir Jojic, Stephen Gould, Daphne Koller

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

A Unified Contour-Pixel Model for Figure-Ground Segmentation.

Benjamin Packer, Stephen Gould, Daphne Koller

Proceedings of the Computer Vision - ECCV 2010, 2010

Single image depth estimation from predicted semantic labels.

Beyang Liu, Stephen Gould, Daphne Koller

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Efficiently selecting regions for scene understanding.

M. Pawan Kumar, Daphne Koller

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Real time motion capture using a single time-of-flight camera.

Varun Ganapathi, Christian Plagemann, Daphne Koller, Sebastian Thrun

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

An Active Learning Approach to Finding Related Terms.

David Vickrey, Oscar Kipersztok, Daphne Koller

Proceedings of the ACL 2010, 2010

2009

Timing of Gene Expression Responses to Environmental Changes.

Gal Chechik, Daphne Koller

J. Comput. Biol., 2009

Shape-Based Object Localization for Descriptive Classification.

Geremy Heitz, Gal Elidan, Benjamin Packer, Daphne Koller

Int. J. Comput. Vis., 2009

MAP Estimation of Semi-Metric MRFs via Hierarchical Graph Cuts.

M. Pawan Kumar, Daphne Koller

Proceedings of the UAI 2009, 2009

Learning a Small Mixture of Trees.

M. Pawan Kumar, Daphne Koller

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Region-based Segmentation and Object Detection.

Stephen Gould, Tianshi Gao, Daphne Koller

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Decomposing a scene into geometric and semantically consistent regions.

Stephen Gould, Richard Fulton, Daphne Koller

Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

Alphabet SOUP: A framework for approximate energy minimization.

Stephen Gould, Fernando Amat, Daphne Koller

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

Probabilistic Graphical Models - Principles and Techniques.

Daphne Koller, Nir Friedman

MIT Press, ISBN: 978-0-262-01319-2, 2009

2008

Max-margin Classification of Data with Absent Features.

Gal Chechik, Geremy Heitz, Gal Elidan, Pieter Abbeel, Daphne Koller

J. Mach. Learn. Res., 2008

Multi-Class Segmentation with Relative Location Prior.

Stephen Gould, Jim Rodgers, David Cohen, Gal Elidan, Daphne Koller

Int. J. Comput. Vis., 2008

Constrained Approximate Maximum Entropy Learning of Markov Random Fields.

Varun Ganapathi, David Vickrey, John C. Duchi, Daphne Koller

Proceedings of the UAI 2008, 2008

Convex Point Estimation using Undirected Bayesian Transfer Hierarchies.

Gal Elidan, Benjamin Packer, Geremy Heitz, Daphne Koller

Proceedings of the UAI 2008, 2008

Projected Subgradient Methods for Learning Sparse Gaussians.

John C. Duchi, Stephen Gould, Daphne Koller

Proceedings of the UAI 2008, 2008

Cascaded Classification Models: Combining Models for Holistic Scene Understanding.

Geremy Heitz, Stephen Gould, Ashutosh Saxena, Daphne Koller

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Online Word Games for Semantic Data Collection.

David Vickrey, Aaron Bronzan, William Choi, Aman Kumar, Jason Turner-Maier, Arthur Wang, Daphne Koller

Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, 2008

Learning Spatial Context: Using Stuff to Find Things.

Geremy Heitz, Daphne Koller

Proceedings of the Computer Vision, 2008

Applying Sentence Simplification to the CoNLL-2008 Shared Task.

David Vickrey, Daphne Koller

Proceedings of the Twelfth Conference on Computational Natural Language Learning, 2008

Sentence Simplification for Semantic Role Labeling.

David Vickrey, Daphne Koller

Proceedings of the ACL 2008, 2008

2007

Reasoning at the Right Time Granularity.

Suchi Saria, Uri Nodelman, Daphne Koller

Proceedings of the UAI 2007, 2007

Learning a meta-level prior for feature relevance from multiple related tasks.

Su-In Lee, Vassil Chatalbashev, David Vickrey, Daphne Koller

Proceedings of the Machine Learning, 2007

2006

Learning Factor Graphs in Polynomial Time and Sample Complexity.

Pieter Abbeel, Daphne Koller, Andrew Y. Ng

J. Mach. Learn. Res., 2006

A Continuation Method for Nash Equilibria in Structured Games.

Ben Blum, Christian R. Shelton, Daphne Koller

J. Artif. Intell. Res., 2006

Residual Belief Propagation: Informed Scheduling for Asynchronous Message Passing.

Gal Elidan, Ian McGraw, Daphne Koller

Proceedings of the UAI '06, 2006

Continuous Time Markov Networks.

Tal El-Hay, Nir Friedman, Daphne Koller, Raz Kupferman

Proceedings of the UAI '06, 2006

Efficient Structure Learning of Markov Networks using L₁-Regularization.

Su-In Lee, Varun Ganapathi, Daphne Koller

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Using Combinatorial Optimization within Max-Product Belief Propagation.

John C. Duchi, Daniel Tarlow, Gal Elidan, Daphne Koller

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Max-margin classification of incomplete data.

Gal Chechik, Geremy Heitz, Gal Elidan, Pieter Abbeel, Daphne Koller

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Temporal and Cross-Subject Probabilistic Models for fMRI Prediction Tasks.

Alexis J. Battle, Gal Chechik, Daphne Koller

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Constructing informative priors using transfer learning.

Rajat Raina, Andrew Y. Ng, Daphne Koller

Proceedings of the Machine Learning, 2006

Object Pose Detection in Range Scan Data.

Jim Rodgers, Dragomir Anguelov, Hoi-Cheung Pang, Daphne Koller

Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

Learning Object Shape: From Drawings to Images.

Gal Elidan, Geremy Heitz, Daphne Koller

Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

2005

SCAPE: shape completion and animation of people.

Dragomir Anguelov, Praveen Srinivasan, Daphne Koller, Sebastian Thrun, Jim Rodgers, James Davis

ACM Trans. Graph., 2005

Learning Module Networks.

Eran Segal, Dana Pe'er, Aviv Regev, Daphne Koller, Nir Friedman

J. Mach. Learn. Res., 2005

Probabilistic Discovery of Overlapping Cellular Processes and Their Regulation.

Alexis J. Battle, Eran Segal, Daphne Koller

J. Comput. Biol., 2005

Ordering-Based Search: A Simple and Effective Algorithm for Learning Bayesian Networks.

Marc Teyssier, Daphne Koller

Proceedings of the UAI '05, 2005

Expectation Maximization and Complex Duration Distributions for Continuous Time Bayesian Networks.

Uri Nodelman, Christian R. Shelton, Daphne Koller

Proceedings of the UAI '05, 2005

Expectation Propagation for Continuous Time Bayesian Networks.

Uri Nodelman, Daphne Koller, Christian R. Shelton

Proceedings of the UAI '05, 2005

Learning Factor Graphs in Polynomial Time & Sample Complexity.

Pieter Abbeel, Daphne Koller, Andrew Y. Ng

Proceedings of the UAI '05, 2005

Word-Sense Disambiguation for Machine Translation.

David Vickrey, Luke Biewald, Marc Teyssier, Daphne Koller

Proceedings of the HLT/EMNLP 2005, 2005

Learning structured prediction models: a large margin approach.

Benjamin Taskar, Vassil Chatalbashev, Daphne Koller, Carlos Guestrin

Proceedings of the Machine Learning, 2005

Discriminative Learning of Markov Random Fields for Segmentation of 3D Scan Data.

Dragomir Anguelov, Benjamin Taskar, Vassil Chatalbashev, Daphne Koller, Dinkar Gupta, Geremy Heitz, Andrew Y. Ng

Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

2004

Representation Dependence in Probabilistic Inference.

Joseph Y. Halpern, Daphne Koller

J. Artif. Intell. Res., 2004

Simultaneous Localization and Mapping with Sparse Extended Information Filters.

Sebastian Thrun, Yufeng Liu, Daphne Koller, Andrew Y. Ng, Zoubin Ghahramani, Hugh F. Durrant-Whyte

Int. J. Robotics Res., 2004

Understanding tuberculosis epidemiology using structured statistical models.

Lise Getoor, Jeanne T. Rhee, Daphne Koller, Peter Small

Artif. Intell. Medicine, 2004

Recovering Articulated Object Models from 3D Range Data.

Dragomir Anguelov, Daphne Koller, Hoi-Cheung Pang, Praveen Srinivasan, Sebastian Thrun

Proceedings of the UAI '04, 2004

Identifying Protein-Protein Interaction Sites on a Genome-Wide Scale.

Haidong Wang, Eran Segal, Asa Ben-Hur, Daphne Koller, Douglas L. Brutlag

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

The Correlated Correspondence Algorithm for Unsupervised Registration of Nonrigid Surfaces.

Dragomir Anguelov, Praveen Srinivasan, Hoi-Cheung Pang, Daphne Koller, Sebastian Thrun, James Davis

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Detecting and Modeling Doors with Mobile Robots.

Dragomir Anguelov, Daphne Koller, Evan Parker, Sebastian Thrun

Proceedings of the 2004 IEEE International Conference on Robotics and Automation, 2004

Learning associative Markov networks.

Benjamin Taskar, Vassil Chatalbashev, Daphne Koller

Proceedings of the Machine Learning, 2004

Max-Margin Parsing.

Ben Taskar, Dan Klein, Michael Collins, Daphne Koller, Christopher D. Manning

Proceedings of the 2004 Conference on Empirical Methods in Natural Language Processing , 2004

Multi-Agent Planning in Complex Uncertain Environments.

Daphne Koller

Proceedings of the 3rd International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2004), 2004

2003

Being Bayesian About Network Structure. A Bayesian Approach to Structure Discovery in Bayesian Networks.

Nir Friedman, Daphne Koller

Mach. Learn., 2003

Efficient Solution Algorithms for Factored MDPs.

Carlos Guestrin, Daphne Koller, Ronald Parr, Shobha Venkataraman

J. Artif. Intell. Res., 2003

Multi-agent influence diagrams for representing and solving games.

Daphne Koller, Brian Milch

Games Econ. Behav., 2003

Learning Continuous Time Bayesian Networks.

Uri Nodelman, Christian R. Shelton, Daphne Koller

Proceedings of the UAI '03, 2003

Decomposing Gene Expression into Cellular Processes.

Eran Segal, Alexis J. Battle, Daphne Koller

Proceedings of the 8th Pacific Symposium on Biocomputing, 2003

Link Prediction in Relational Data.

Benjamin Taskar, Ming Fai Wong, Pieter Abbeel, Daphne Koller

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Max-Margin Markov Networks.

Benjamin Taskar, Carlos Guestrin, Daphne Koller

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Statistical learning from relational data.

Daphne Koller

Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24, 2003

Genome-wide discovery of transcriptional modules from DNA sequence and gene expression.

Eran Segal, R. Yelensky, Daphne Koller

Proceedings of the Eleventh International Conference on Intelligent Systems for Molecular Biology, June 29, 2003

Discovering molecular pathways from protein interaction and gene expression data.

Eran Segal, Haidong Wang, Daphne Koller

Proceedings of the Eleventh International Conference on Intelligent Systems for Molecular Biology, June 29, 2003

FastSLAM 2.0: An Improved Particle Filtering Algorithm for Simultaneous Localization and Mapping that Provably Converges.

Michael Montemerlo, Sebastian Thrun, Daphne Koller, Ben Wegbreit

Proceedings of the IJCAI-03, 2003

Generalizing Plans to New Environments in Relational MDPs.

Carlos Guestrin, Daphne Koller, Chris Gearhart, Neal Kanodia

Proceedings of the IJCAI-03, 2003

Learning on the Test Data: Leveraging Unseen Features.

Benjamin Taskar, Ming Fai Wong, Daphne Koller

Proceedings of the Machine Learning, 2003

2002

Learning Probabilistic Models of Link Structure.

Lise Getoor, Nir Friedman, Daphne Koller, Benjamin Taskar

J. Mach. Learn. Res., 2002

Simultaneous Mapping and Localization with Sparse Extended Information Filters: Theory and Initial Results.

Sebastian Thrun, Daphne Koller, Zoubin Ghahramani, Hugh F. Durrant-Whyte, Andrew Y. Ng

Proceedings of the Algorithmic Foundations of Robotics V, 2002

Discriminative Probabilistic Models for Relational Data.

Benjamin Taskar, Pieter Abbeel, Daphne Koller

Proceedings of the UAI '02, 2002

Continuous Time Bayesian Networks.

Uri Nodelman, Christian R. Shelton, Daphne Koller

Proceedings of the UAI '02, 2002

Monitoring a Complez Physical System using a Hybrid Dynamic Bayes Net.

Uri Lerner, Brooks Moses, Maricia Scott, Sheila A. McIlraith, Daphne Koller

Proceedings of the UAI '02, 2002

Learning Hierarchical Object Maps of Non-Stationary Environments with Mobile Robots.

Dragomir Anguelov, Rahul Biswas, Daphne Koller, Benson Limketkai, Sebastian Thrun

Proceedings of the UAI '02, 2002

Probabilistic hierarchical clustering for biological data.

Eran Segal, Daphne Koller

Proceedings of the Sixth Annual International Conference on Computational Biology, 2002

From promoter sequence to expression: a probabilistic framework.

Eran Segal, Yoseph Barash, Itamar Simon, Nir Friedman, Daphne Koller

Proceedings of the Sixth Annual International Conference on Computational Biology, 2002

Multi-Agent Algorithms for Solving Graphical Games.

David Vickrey, Daphne Koller

Proceedings of the Eighteenth National Conference on Artificial Intelligence and Fourteenth Conference on Innovative Applications of Artificial Intelligence, July 28, 2002

FastSLAM: A Factored Solution to the Simultaneous Localization and Mapping Problem.

Michael Montemerlo, Sebastian Thrun, Daphne Koller, Ben Wegbreit

Proceedings of the Eighteenth National Conference on Artificial Intelligence and Fourteenth Conference on Innovative Applications of Artificial Intelligence, July 28, 2002

Context-Specific Multiagent Coordination and Planning with Factored MDPs.

Carlos Guestrin, Shobha Venkataraman, Daphne Koller

Proceedings of the Eighteenth National Conference on Artificial Intelligence and Fourteenth Conference on Innovative Applications of Artificial Intelligence, July 28, 2002

2001

Support Vector Machine Active Learning with Applications to Text Classification.

Simon Tong, Daphne Koller

J. Mach. Learn. Res., 2001

Exact Inference in Networks with Discrete Children of Continuous Parents.

Uri Lerner, Eran Segal, Daphne Koller

Proceedings of the UAI '01: Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence, 2001

Selectivity Estimation using Probabilistic Models.

Lise Getoor, Benjamin Taskar, Daphne Koller

Proceedings of the 2001 ACM SIGMOD international conference on Management of data, 2001

Probabilistic Abstraction Hierarchies.

Eran Segal, Daphne Koller, Dirk Ormoneit

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Multiagent Planning with Factored MDPs.

Carlos Guestrin, Daphne Koller, Ronald Parr

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Rich probabilistic models for gene expression.

Eran Segal, Benjamin Taskar, Audrey P. Gasch, Nir Friedman, Daphne Koller

Proceedings of the Ninth International Conference on Intelligent Systems for Molecular Biology, 2001

Active Learning for Structure in Bayesian Networks.

Simon Tong, Daphne Koller

Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, 2001

Probabilistic Classification and Clustering in Relational Data.

Benjamin Taskar, Eran Segal, Daphne Koller

Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, 2001

Max-norm Projections for Factored MDPs.

Carlos Guestrin, Daphne Koller, Ronald Parr

Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, 2001

Learning Probabilistic Models of Relational Structure.

Lise Getoor, Nir Friedman, Daphne Koller, Benjamin Taskar

Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28, 2001

Learning an Agent's Utility Function by Observing Behavior.

Urszula Chajewska, Daphne Koller, Dirk Ormoneit

Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28, 2001

Sampling in Factored Dynamic Systems.

Daphne Koller, Uri Lerner

Proceedings of the Sequential Monte Carlo Methods in Practice, 2001

2000

First-order conditional logic for default reasoning revisited.

Nir Friedman, Joseph Y. Halpern, Daphne Koller

ACM Trans. Comput. Log., 2000

Probabilistic Models for Agent's Beliefs and Decisions.

Brian Milch, Daphne Koller

Proceedings of the UAI '00: Proceedings of the 16th Conference in Uncertainty in Artificial Intelligence, Stanford University, Stanford, California, USA, June 30, 2000

Policy Iteration for Factored MDPs.

Daphne Koller, Ronald Parr

Proceedings of the UAI '00: Proceedings of the 16th Conference in Uncertainty in Artificial Intelligence, Stanford University, Stanford, California, USA, June 30, 2000

Being Bayesian about Network Structure.

Nir Friedman, Daphne Koller

Proceedings of the UAI '00: Proceedings of the 16th Conference in Uncertainty in Artificial Intelligence, Stanford University, Stanford, California, USA, June 30, 2000

Utilities as Random Variables: Density Estimation and Structure Discovery.

Urszula Chajewska, Daphne Koller

Proceedings of the UAI '00: Proceedings of the 16th Conference in Uncertainty in Artificial Intelligence, Stanford University, Stanford, California, USA, June 30, 2000

Using Feature Hierarchies in Bayesian Network Learning.

Marie desJardins, Lise Getoor, Daphne Koller

Proceedings of the Abstraction, 2000

Active Learning for Parameter Estimation in Bayesian Networks.

Simon Tong, Daphne Koller

Proceedings of the Advances in Neural Information Processing Systems 13, 2000

Discovering Hidden Variables: A Structure-Based Approach.

Gal Elidan, Noam Lotner, Nir Friedman, Daphne Koller

Proceedings of the Advances in Neural Information Processing Systems 13, 2000

Support Vector Machine Active Learning with Application sto Text Classification.

Simon Tong, Daphne Koller

Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

Restricted Bayes Optimal Classifiers.

Simon Tong, Daphne Koller

Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on on Innovative Applications of Artificial Intelligence, July 30, 2000

Semantics and Inference for Recursive Probability Models.

Avi Pfeffer, Daphne Koller

Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on on Innovative Applications of Artificial Intelligence, July 30, 2000

Bayesian Fault Detection and Diagnosis in Dynamic Systems.

Uri Lerner, Ronald Parr, Daphne Koller, Gautam Biswas

Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on on Innovative Applications of Artificial Intelligence, July 30, 2000

Making Rational Decisions Using Adaptive Utility Elicitation.

Urszula Chajewska, Daphne Koller, Ronald Parr

Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on on Innovative Applications of Artificial Intelligence, July 30, 2000

1999

SPOOK: A system for probabilistic object-oriented knowledge representation.

Avi Pfeffer, Daphne Koller, Brian Milch, Ken T. Takusagawa

Proceedings of the UAI '99: Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, Stockholm, Sweden, July 30, 1999

A General Algorithm for Approximate Inference and Its Application to Hybrid Bayes Nets.

Daphne Koller, Uri Lerner, Dragomir Anguelov

Proceedings of the UAI '99: Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, Stockholm, Sweden, July 30, 1999

Discovering the Hidden Structure of Complex Dynamic Systems.

Xavier Boyen, Nir Friedman, Daphne Koller

Proceedings of the UAI '99: Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, Stockholm, Sweden, July 30, 1999

Reinforcement Learning Using Approximate Belief States.

Andres C. Rodriguez, Ronald Parr, Daphne Koller

Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

Policy Search via Density Estimation.

Andrew Y. Ng, Ronald Parr, Daphne Koller

Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

Probabilistic Relational Models.

Daphne Koller

Proceedings of the Inductive Logic Programming, 9th International Workshop, 1999

Computing Factored Value Functions for Policies in Structured MDPs.

Daphne Koller, Ronald Parr

Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, 1999

Efficient Reinforcement Learning in Factored MDPs.

Michael J. Kearns, Daphne Koller

Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, 1999

Learning Probabilistic Relational Models.

Nir Friedman, Lise Getoor, Daphne Koller, Avi Pfeffer

Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, 1999

Exploiting the Architecture of Dynamic Systems.

Xavier Boyen, Daphne Koller

Proceedings of the Sixteenth National Conference on Artificial Intelligence and Eleventh Conference on Innovative Applications of Artificial Intelligence, 1999

1998

Tractable Inference for Complex Stochastic Processes.

Xavier Boyen, Daphne Koller

Proceedings of the UAI '98: Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, 1998

Approximate Learning of Dynamic Models.

Xavier Boyen, Daphne Koller

Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

Using Learning for Approximation in Stochastic Processes.

Daphne Koller, Raya Fratkina

Proceedings of the Fifteenth International Conference on Machine Learning (ICML 1998), 1998

Probabilistic Frame-Based Systems.

Daphne Koller, Avi Pfeffer

Proceedings of the Fifteenth National Conference on Artificial Intelligence and Tenth Innovative Applications of Artificial Intelligence Conference, 1998

Structured Probabilistic Models: Bayesian Networks and Beyond.

Daphne Koller

Proceedings of the Fifteenth National Conference on Artificial Intelligence and Tenth Innovative Applications of Artificial Intelligence Conference, 1998

Structured Representation of Complex Stochastic Systems.

Nir Friedman, Daphne Koller, Avi Pfeffer

Proceedings of the Fifteenth National Conference on Artificial Intelligence and Tenth Innovative Applications of Artificial Intelligence Conference, 1998

1997

Adaptive Probabilistic Networks with Hidden Variables.

John Binder, Daphne Koller, Stuart Russell, Keiji Kanazawa

Mach. Learn., 1997

(De)randomized Construction of Small Sample Spaces in NC.

David R. Karger, Daphne Koller

J. Comput. Syst. Sci., 1997

Representations and Solutions for Game-Theoretic Problems.

Daphne Koller, Avi Pfeffer

Artif. Intell., 1997

Using Probabilistic Information in Data Integration.

Daniela Florescu, Daphne Koller, Alon Y. Levy

Proceedings of the VLDB'97, 1997

Nonuniform Dynamic Discretization in Hybrid Networks.

Alexander V. Kozlov, Daphne Koller

Proceedings of the UAI '97: Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence, 1997

Object-Oriented Bayesian Networks.

Daphne Koller, Avi Pfeffer

Proceedings of the UAI '97: Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence, 1997

Update Rules for Parameter Estimation in Bayesian Networks.

Eric Bauer, Daphne Koller, Yoram Singer

Proceedings of the UAI '97: Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence, 1997

Learning Probabilities for Noisy First-Order Rules.

Daphne Koller, Avi Pfeffer

Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, 1997

Hierarchically Classifying Documents Using Very Few Words.

Daphne Koller, Mehran Sahami

Proceedings of the Fourteenth International Conference on Machine Learning (ICML 1997), 1997

Effective Bayesian Inference for Stochastic Programs.

Daphne Koller, David A. McAllester, Avi Pfeffer

Proceedings of the Fourteenth National Conference on Artificial Intelligence and Ninth Innovative Applications of Artificial Intelligence Conference, 1997

P-CLASSIC: A Tractable Probablistic Description Logic.

Daphne Koller, Alon Y. Levy, Avi Pfeffer

Proceedings of the Fourteenth National Conference on Artificial Intelligence and Ninth Innovative Applications of Artificial Intelligence Conference, 1997

1996

Asymptotic Conditional Probabilities: The Unary Case.

Adam J. Grove, Joseph Y. Halpern, Daphne Koller

SIAM J. Comput., 1996

Asymptotic Conditional Probabilities: The Non-Unary Case.

Adam J. Grove, Joseph Y. Halpern, Daphne Koller

J. Symb. Log., 1996

Structured Representations and Intractability.

Daphne Koller

ACM Comput. Surv., 1996

From Statistical Knowledge Bases to Degrees of Belief.

Fahiem Bacchus, Adam J. Grove, Joseph Y. Halpern, Daphne Koller

Artif. Intell., 1996

Context-Specific Independence in Bayesian Networks.

Craig Boutilier, Nir Friedman, Moisés Goldszmidt, Daphne Koller

Proceedings of the UAI '96: Proceedings of the Twelfth Annual Conference on Uncertainty in Artificial Intelligence, 1996

Toward Optimal Feature Selection.

Daphne Koller, Mehran Sahami

Proceedings of the Machine Learning, 1996

Irrelevance and Conditioning in First-Order Probabilistic Logic.

Daphne Koller, Joseph Y. Halpern

Proceedings of the Thirteenth National Conference on Artificial Intelligence and Eighth Innovative Applications of Artificial Intelligence Conference, 1996

First-Order Conditional Logic Revisited.

Nir Friedman, Joseph Y. Halpern, Daphne Koller

Proceedings of the Thirteenth National Conference on Artificial Intelligence and Eighth Innovative Applications of Artificial Intelligence Conference, 1996

1995

Stochastic simulation algorithms for dynamic probabilistic networks.

Keiji Kanazawa, Daphne Koller, Stuart Russell

Proceedings of the UAI '95: Proceedings of the Eleventh Annual Conference on Uncertainty in Artificial Intelligence, 1995

Local Learning in Probabilistic Networks with Hidden Variables.

Stuart Russell, John Binder, Daphne Koller, Keiji Kanazawa

Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, 1995

Generating and Solving Imperfect Information Games.

Daphne Koller, Avi Pfeffer

Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, 1995

An Integrated Stereo-Based Approach to Automatic Vehicle Guidance.

Quang-Tuan Luong, Joseph Weber, Daphne Koller, Jitendra Malik

Proceedings of the Procedings of the Fifth International Conference on Computer Vision (ICCV 95), 1995

Constructing Flexible Dynamic Belief Networks from First-Order Probalistic Knowledge Bases.

Sabine Glesner, Daphne Koller

Proceedings of the Symbolic and Quantitative Approaches to Reasoning and Uncertainty, 1995

A Game-Theoretic Classification of Interactive Complexity Classes.

Joan Feigenbaum, Daphne Koller, Peter W. Shor

Proceedings of the Tenth Annual Structure in Complexity Theory Conference, 1995

1994

Constructing Small Sample Spaces Satisfying Given Constraints.

Daphne Koller, Nimrod Megiddo

SIAM J. Discret. Math., 1994

Random Worlds and Maximum Entropy.

Adam J. Grove, Joseph Y. Halpern, Daphne Koller

J. Artif. Intell. Res., 1994

A Response to "Believing on the Basis of the Evidence".

Fahiem Bacchus, Adam J. Grove, Joseph Y. Halpern, Daphne Koller

Comput. Intell., 1994

Generating New Beliefs from Old.

Fahiem Bacchus, Adam J. Grove, Joseph Y. Halpern, Daphne Koller

Proceedings of the UAI '94: Proceedings of the Tenth Annual Conference on Uncertainty in Artificial Intelligence, 1994

Fast algorithms for finding randomized strategies in game trees.

Daphne Koller, Nimrod Megiddo, Bernhard von Stengel

Proceedings of the Twenty-Sixth Annual ACM Symposium on Theory of Computing, 1994

Towards robust automatic traffic scene analysis in real-time.

Daphne Koller, Joseph Weber, Timothy Huang, Jitendra Malik, Gary H. Ogasawara, Stuart Russell, Bobby S. Rao

Proceedings of the 12th IAPR International Conference on Pattern Recognition, 1994

(De)randomized Construction of Small Sample Spaces in \calNC

David R. Karger, Daphne Koller

Proceedings of the 35th Annual Symposium on Foundations of Computer Science, 1994

Automatic Symbolic Traffic Scene Analysis Using Belief Networks.

Timothy Huang, Daphne Koller, Jitendra Malik, Gary H. Ogasawara, Bobby S. Rao, Stuart Russell, Joseph Weber

Proceedings of the 12th National Conference on Artificial Intelligence, Seattle, WA, USA, July 31, 1994

Forming Beliefs about a Changing World.

Fahiem Bacchus, Adam J. Grove, Joseph Y. Halpern, Daphne Koller

Proceedings of the 12th National Conference on Artificial Intelligence, Seattle, WA, USA, July 31, 1994

1993

Finding the Hidden Path: Time Bounds for All-Pairs Shortest Paths.

David R. Karger, Daphne Koller, Steven J. Phillips

SIAM J. Comput., 1993

Statistical Foundations for Default Reasoning.

Fahiem Bacchus, Adam J. Grove, Joseph Y. Halpern, Daphne Koller

Proceedings of the 13th International Joint Conference on Artificial Intelligence. Chambéry, France, August 28, 1993

Generating Degrees of Belief from Statistical Information: An Overview.

Fahiem Bacchus, Adam J. Grove, Joseph Y. Halpern, Daphne Koller

Proceedings of the Foundations of Software Technology and Theoretical Computer Science, 1993

1992

Asymptotic Conditional Probabilities for First-Order Logic

Adam J. Grove, Joseph Y. Halpern, Daphne Koller

Proceedings of the 24th Annual ACM Symposium on Theory of Computing, 1992

A Logic for Approximate Reasoning.

Daphne Koller, Joseph Y. Halpern

Proceedings of the 3rd International Conference on Principles of Knowledge Representation and Reasoning (KR'92). Cambridge, 1992

From Statistics to Beliefs.

Fahiem Bacchus, Adam J. Grove, Daphne Koller, Joseph Y. Halpern

Proceedings of the 10th National Conference on Artificial Intelligence, 1992

1991

Fault-Tolerant Critical Section Management in Asynchronous Environments

Amotz Bar-Noy, Danny Dolev, Daphne Koller, David Peleg

Inf. Comput., November, 1991

Probability Estimation in Face of Irrelevant Information.

Adam J. Grove, Daphne Koller

Proceedings of the UAI '91: Proceedings of the Seventh Annual Conference on Uncertainty in Artificial Intelligence, 1991

1989

Fault-Tolerant Critical Section Management in Asynchronous Networks.

Amotz Bar-Noy, Danny Dolev, Daphne Koller, David Peleg

Proceedings of the Distributed Algorithms, 1989

1987

Achievable Cases in an Asynchronous Environment (Extended Abstract)

Hagit Attiya, Amotz Bar-Noy, Danny Dolev, Daphne Koller, David Peleg, Rüdiger Reischuk

Proceedings of the 28th Annual Symposium on Foundations of Computer Science, 1987