Daphne Koller - RankMe

264 papers A* 64A 41B 7C 2Misc 1Journal 82Unranked 63

Year	Rank	Type	Title / Venue / Authors
2019	A	`conf`	Inferring Multidimensional Rates of Aging from Cross-Sectional Data. AISTATS Emma Pierson, Pang Wei Koh, Tatsunori B. Hashimoto, Daphne Koller, Jure Leskovec, Nick Eriksson, Percy Liang
2018	J	`jnl`	Inferring Multi-Dimensional Rates of Aging from Cross-Sectional Data. CoRR Emma Pierson, Pang Wei Koh, Tatsunori B. Hashimoto, Daphne Koller, Jure Leskovec, Nicholas Eriksson, Percy Liang
2015	A*	`conf`	MOOCS: What Have We Learned? KDD Daphne Koller
2015	J	`jnl`	Parameter Estimation and Energy Minimization for Region-Based Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. M. Pawan Kumar, Haithem Turki, Dan Preston, Daphne Koller
2015	J	`jnl`	Sharing and Specificity of Co-expression Networks across 35 Human Tissues. PLoS Comput. Biol. Emma Pierson, Daphne Koller, Alexis J. Battle, Sara Mostafavi
2014	J	`jnl`	Offering Verified Credentials in Massive Open Online Courses: MOOCs and technology to advance learning and learning research (Ubiquity symposium). Ubiquity Andrew L. Maas, Chris Heather, Chuong B. Do, Relly Brandman, Daphne Koller, Andrew Y. Ng
2013	—	`conf`	A Fast and Exact Energy Minimization Algorithm for Cycle MRFs. ICML (3) Huayan Wang, Daphne Koller
2013	J	`jnl`	A General Algorithm for Approximate Inference and its Application to Hybrid Bayes Nets CoRR Daphne Koller, Uri Lerner, Dragomir Anguelov
2013	J	`jnl`	Being Bayesian about Network Structure CoRR Nir Friedman, Daphne Koller
2013	A*	`conf`	Combining the Right Features for Complex Event Recognition. ICCV Kevin D. Tang, Bangpeng Yao, Li Fei-Fei, Daphne Koller
2013	J	`jnl`	Context-Specific Independence in Bayesian Networks CoRR Craig Boutilier, Nir Friedman, Moisés Goldszmidt, Daphne Koller
2013	J	`jnl`	Continuous Time Bayesian Networks CoRR Uri Nodelman, Christian R. Shelton, Daphne Koller
2013	A*	`conf`	Crowd-scale interactive formal reasoning and analytics. UIST Ethan Fast, Colleen Lee, Alex Aiken, Michael S. Bernstein, Daphne Koller, Eric Smith
2013	J	`jnl`	Discovering the Hidden Structure of Complex Dynamic Systems CoRR Xavier Boyen, Nir Friedman, Daphne Koller
2013	J	`jnl`	Discriminative Probabilistic Models for Relational Data CoRR Ben Taskar, Pieter Abbeel, Daphne Koller
2013	J	`jnl`	Discriminative learning with latent variables for cluttered indoor scene understanding. Commun. ACM Huayan Wang, Stephen Gould, Daphne Koller
2013	J	`jnl`	Exact Inference in Networks with Discrete Children of Continuous Parents CoRR Uri Lerner, Eran Segal, Daphne Koller
2013	J	`jnl`	Generating New Beliefs From Old CoRR Fahiem Bacchus, Adam J. Grove, Joseph Y. Halpern, Daphne Koller
2013	J	`jnl`	Learning Hierarchical Object Maps Of Non-Stationary Environments with mobile robots CoRR Dragomir Anguelov, Rahul Biswas, Daphne Koller, Benson Limketkai, Sebastian Thrun
2013	J	`jnl`	Monitoring a Complez Physical System using a Hybrid Dynamic Bayes Net CoRR Uri Lerner, Brooks Moses, Maricia Scott, Sheila A. McIlraith, Daphne Koller
2013	J	`jnl`	Nonuniform Dynamic Discretization in Hybrid Networks CoRR Alexander V. Kozlov, Daphne Koller
2013	J	`jnl`	Object-Oriented Bayesian Networks CoRR Daphne Koller, Avi Pfeffer
2013	J	`jnl`	Peer and self assessment in massive online classes. ACM Trans. Comput. Hum. Interact. Chinmay Eishan Kulkarni, Pang Wei Wei, Huy Le, Daniel Jin hao Chia, Kathryn Papadopoulos, Justin Cheng, Daphne Koller, Scott R. Klemmer
2013	J	`jnl`	Policy Iteration for Factored MDPs CoRR Daphne Koller, Ronald Parr
2013	J	`jnl`	Probabilistic Models for Agents' Beliefs and Decisions CoRR Brian Milch, Daphne Koller
2013	J	`jnl`	Probability Estimation in Face of Irrelevant Information CoRR Adam J. Grove, Daphne Koller
2013	J	`jnl`	Proceedings of the Seventeenth Conference on Uncertainty in Artificial Intelligence (2001) CoRR John S. Breese, Daphne Koller
2013	J	`jnl`	SPOOK: A System for Probabilistic Object-Oriented Knowledge Representation CoRR Avi Pfeffer, Daphne Koller, Brian Milch, Ken T. Takusagawa
2013	J	`jnl`	Stochastic Simulation Algorithms for Dynamic Probabilistic Networks CoRR Keiji Kanazawa, Daphne Koller, Stuart Russell
2013	—	`conf`	Subproblem-Tree Calibration: A Unified Approach to Max-Product Message Passing. ICML (2) Huayan Wang, Daphne Koller
2013	—	`conf`	TRECVID 2013 GENIE: Multimedia Event Detection and Recounting. TRECVID 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
2013	A*	`conf`	The online revolution: education for everyone. KDD Andrew Y. Ng, Daphne Koller
2013	J	`jnl`	Tractable Inference for Complex Stochastic Processes CoRR Xavier Boyen, Daphne Koller
2013	B	`conf`	Tuned Models of Peer Assessment in MOOCs. EDM Chris Piech, Jonathan Huang, Zhenghao Chen, Chuong B. Do, Andrew Y. Ng, Daphne Koller
2013	J	`jnl`	Tuned Models of Peer Assessment in MOOCs. CoRR Chris Piech, Jonathan Huang, Zhenghao Chen, Chuong B. Do, Andrew Y. Ng, Daphne Koller
2013	J	`jnl`	Update Rules for Parameter Estimation in Bayesian Networks CoRR Eric Bauer, Daphne Koller, Yoram Singer
2013	J	`jnl`	Utilities as Random Variables: Density Estimation and Structure Discovery CoRR Urszula Chajewska, Daphne Koller
2012	A*	`conf`	A combined pose, object, and feature model for action understanding. CVPR Benjamin Packer, Kate Saenko, Daphne Koller
2012	J	`jnl`	A probabilistic model for component-based shape synthesis. ACM Trans. Graph. Evangelos Kalogerakis, Siddhartha Chaudhuri, Daphne Koller, Vladlen Koltun
2012	J	`jnl`	Constrained Approximate Maximum Entropy Learning of Markov Random Fields CoRR Varun Ganapathi, David Vickrey, John C. Duchi, Daphne Koller
2012	J	`jnl`	Continuous Time Markov Networks. CoRR Tal El-Hay, Nir Friedman, Daphne Koller, Raz Kupferman
2012	J	`jnl`	Convex Point Estimation using Undirected Bayesian Transfer Hierarchies CoRR Gal Elidan, Benjamin Packer, Geremy Heitz, Daphne Koller
2012	J	`jnl`	Expectation Maximization and Complex Duration Distributions for Continuous Time Bayesian Networks CoRR Uri Nodelman, Christian R. Shelton, Daphne Koller
2012	J	`jnl`	Expectation Propagation for Continuous Time Bayesian Networks CoRR Uri Nodelman, Daphne Koller, Christian R. Shelton
2012	A	`conf`	Fine-Grained Categorization for 3D Scene Understanding. BMVC Michael Stark, Jonathan Krause, Bojan Pepik, David Meger, James J. Little, Bernt Schiele, Daphne Koller
2012	J	`jnl`	Learning Continuous Time Bayesian Networks CoRR Uri Nodelman, Christian R. Shelton, Daphne Koller
2012	J	`jnl`	Learning Factor Graphs in Polynomial Time & Sample Complexity CoRR Pieter Abbeel, Daphne Koller, Andrew Y. Ng
2012	J	`jnl`	Learning Module Networks CoRR Eran Segal, Dana Pe'er, Aviv Regev, Daphne Koller, Nir Friedman
2012	A*	`conf`	Learning latent temporal structure for complex event detection. CVPR Kevin D. Tang, Li Fei-Fei, Daphne Koller
2012	J	`jnl`	MAP Estimation of Semi-Metric MRFs via Hierarchical Graph Cuts CoRR M. Pawan Kumar, Daphne Koller
2012	A	`conf`	Max-Margin Min-Entropy Models. AISTATS Kevin Miller, M. Pawan Kumar, Benjamin Packer, Danny Goodman, Daphne Koller
2012	J	`jnl`	Modeling Latent Variable Uncertainty for Loss-based Learning CoRR M. Pawan Kumar, Benjamin Packer, Daphne Koller
2012	A*	`conf`	Modeling Latent Variable Uncertainty for Loss-based Learning. ICML M. Pawan Kumar, Benjamin Packer, Daphne Koller
2012	A	`conf`	Modeling how students learn to program. SIGCSE Chris Piech, Mehran Sahami, Daphne Koller, Steve Cooper, Paulo Blikstein
2012	J	`jnl`	Ordering-Based Search: A Simple and Effective Algorithm for Learning Bayesian Networks CoRR Marc Teyssier, Daphne Koller
2012	J	`jnl`	Projected Subgradient Methods for Learning Sparse Gaussians CoRR John C. Duchi, Stephen Gould, Daphne Koller
2012	—	`conf`	Real-Time Human Pose Tracking from Range Data. ECCV (6) Varun Ganapathi, Christian Plagemann, Daphne Koller, Sebastian Thrun
2012	J	`jnl`	Reasoning at the Right Time Granularity CoRR Suchi Saria, Uri Nodelman, Daphne Koller
2012	J	`jnl`	Recovering Articulated Object Models from 3D Range Data CoRR Dragomir Anguelov, Daphne Koller, Hoi-Cheung Pang, Praveen Srinivasan, Sebastian Thrun
2012	J	`jnl`	Residual Belief Propagation: Informed Scheduling for Asynchronous Message Passing. CoRR Gal Elidan, Ian McGraw, Daphne Koller
2012	—	`conf`	Shifting Weights: Adapting Object Detectors from Image to Video. NIPS Kevin D. Tang, Vignesh Ramanathan, Li Fei-Fei, Daphne Koller
2012	—	`conf`	TRECVID 2012 GENIE: Multimedia Event Detection and Recounting. TRECVID 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
2012	—	`conf`	What Makes a Good Detector? - Structured Priors for Learning from Few Examples. ECCV (5) Tianshi Gao, Michael Stark, Daphne Koller
2011	J	`jnl`	A Continuation Method for Nash Equilibria in Structured Games CoRR Ben Blum, Daphne Koller, Christian R. Shelton
2011	A*	`conf`	A segmentation-aware object detection model with occlusion handling. CVPR Tianshi Gao, Benjamin Packer, Daphne Koller
2011	—	`conf`	Active Classification based on Value of Classifier. NIPS Tianshi Gao, Daphne Koller
2011	A	`conf`	Convex envelopes of complexity controlling penalties: the case against premature envelopment. AISTATS Vladimir Jojic, Suchi Saria, Daphne Koller
2011	A*	`conf`	Discovering Deformable Motifs in Continuous Time Series Data. IJCAI Suchi Saria, Andrew Duchi, Daphne Koller
2011	A*	`conf`	Discriminative learning of relaxed hierarchy for large-scale visual recognition. ICCV Tianshi Gao, Daphne Koller
2011	J	`jnl`	Efficient Solution Algorithms for Factored MDPs CoRR Carlos Guestrin, Daphne Koller, Ronald Parr, Shobha Venkataraman
2011	—	`conf`	GENIE TRECVID 2011 Multimedia Event Detection: Late-Fusion Approaches to Combine Multiple Audio-Visual features. TRECVID 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
2011	J	`jnl`	Genovo: J. Comput. Biol. Jonathan Laserson, Vladimir Jojic, Daphne Koller
2011	A*	`conf`	Learning specific-class segmentation from diverse data. ICCV M. Pawan Kumar, Haithem Turki, Dan Preston, Daphne Koller
2011	A*	`conf`	Multi-level inference by relaxed dual decomposition for human pose segmentation. CVPR Huayan Wang, Daphne Koller
2011	A*	`conf`	Multiclass Boosting with Hinge Loss based on Output Coding. ICML Tianshi Gao, Daphne Koller
2010	—	`conf`	A Unified Contour-Pixel Model for Figure-Ground Segmentation. ECCV (5) Benjamin Packer, Stephen Gould, Daphne Koller
2010	A*	`conf`	Accelerated dual decomposition for MAP inference. ICML Vladimir Jojic, Stephen Gould, Daphne Koller
2010	—	`conf`	An Active Learning Approach to Finding Related Terms. ACL (2) David Vickrey, Oscar Kipersztok, Daphne Koller
2010	J	`jnl`	Discovering shared and individual latent structure in multiple time series CoRR Suchi Saria, Daphne Koller, Anna Penn
2010	—	`conf`	Discriminative Learning with Latent Variables for Cluttered Indoor Scene Understanding. ECCV (2) Huayan Wang, Stephen Gould, Daphne Koller
2010	—	`conf`	Discriminative Learning with Latent Variables for Cluttered Indoor Scene Understanding. ECCV (4) Huayan Wang, Stephen Gould, Daphne Koller
2010	A*	`conf`	Efficiently selecting regions for scene understanding. CVPR M. Pawan Kumar, Daphne Koller
2010	B	`conf`	Genovo: RECOMB Jonathan Laserson, Vladimir Jojic, Daphne Koller
2010	A*	`conf`	Non-Local Contrastive Objectives. ICML David Vickrey, Cliff Chiung-Yu Lin, Daphne Koller
2010	A*	`conf`	Real time motion capture using a single time-of-flight camera. CVPR Varun Ganapathi, Christian Plagemann, Daphne Koller, Sebastian Thrun
2010	A*	`conf`	Real-time identification and localization of body parts from depth images. ICRA Christian Plagemann, Varun Ganapathi, Daphne Koller, Sebastian Thrun
2010	—	`conf`	Self-Paced Learning for Latent Variable Models. NIPS M. Pawan Kumar, Benjamin Packer, Daphne Koller
2010	A*	`conf`	Single image depth estimation from predicted semantic labels. CVPR Beyang Liu, Stephen Gould, Daphne Koller
2009	—	`ed.`	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 NIPS Daphne Koller, Dale Schuurmans, Yoshua Bengio, Léon Bottou
2009	A*	`conf`	Alphabet SOUP: A framework for approximate energy minimization. CVPR Stephen Gould, Fernando Amat, Daphne Koller
2009	A*	`conf`	Decomposing a scene into geometric and semantically consistent regions. ICCV Stephen Gould, Richard Fulton, Daphne Koller
2009	—	`conf`	Learning a Small Mixture of Trees. NIPS M. Pawan Kumar, Daphne Koller
2009	A	`conf`	MAP Estimation of Semi-Metric MRFs via Hierarchical Graph Cuts. UAI M. Pawan Kumar, Daphne Koller
2009	—	`book`	Probabilistic Graphical Models - Principles and Techniques. Daphne Koller, Nir Friedman
2009	—	`conf`	Region-based Segmentation and Object Detection. NIPS Stephen Gould, Tianshi Gao, Daphne Koller
2009	J	`jnl`	Shape-Based Object Localization for Descriptive Classification. Int. J. Comput. Vis. Geremy Heitz, Gal Elidan, Benjamin Packer, Daphne Koller
2009	J	`jnl`	Timing of Gene Expression Responses to Environmental Changes. J. Comput. Biol. Gal Chechik, Daphne Koller
2008	—	`ed.`	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 NIPS John C. Platt, Daphne Koller, Yoram Singer, Sam T. Roweis
2008	B	`conf`	Applying Sentence Simplification to the CoNLL-2008 Shared Task. CoNLL David Vickrey, Daphne Koller
2008	—	`conf`	Cascaded Classification Models: Combining Models for Holistic Scene Understanding. NIPS Geremy Heitz, Stephen Gould, Ashutosh Saxena, Daphne Koller
2008	A	`conf`	Constrained Approximate Maximum Entropy Learning of Markov Random Fields. UAI Varun Ganapathi, David Vickrey, John C. Duchi, Daphne Koller
2008	A	`conf`	Convex Point Estimation using Undirected Bayesian Transfer Hierarchies. UAI Gal Elidan, Benjamin Packer, Geremy Heitz, Daphne Koller
2008	—	`conf`	Learning Spatial Context: Using Stuff to Find Things. ECCV (1) Geremy Heitz, Daphne Koller
2008	J	`jnl`	Max-margin Classification of Data with Absent Features. J. Mach. Learn. Res. Gal Chechik, Geremy Heitz, Gal Elidan, Pieter Abbeel, Daphne Koller
2008	J	`jnl`	Multi-Class Segmentation with Relative Location Prior. Int. J. Comput. Vis. Stephen Gould, Jim Rodgers, David Cohen, Gal Elidan, Daphne Koller
2008	A*	`conf`	Online Word Games for Semantic Data Collection. EMNLP David Vickrey, Aaron Bronzan, William Choi, Aman Kumar, Jason Turner-Maier, Arthur Wang, Daphne Koller
2008	A	`conf`	Projected Subgradient Methods for Learning Sparse Gaussians. UAI John C. Duchi, Stephen Gould, Daphne Koller
2008	A*	`conf`	Sentence Simplification for Semantic Role Labeling. ACL David Vickrey, Daphne Koller
2008	—	`conf`	Shape-Based Object Localization for Descriptive Classification. NIPS Geremy Heitz, Gal Elidan, Benjamin Packer, Daphne Koller
2007	A*	`conf`	Learning a meta-level prior for feature relevance from multiple related tasks. ICML Su-In Lee, Vassil Chatalbashev, David Vickrey, Daphne Koller
2007	A	`conf`	Reasoning at the Right Time Granularity. UAI Suchi Saria, Uri Nodelman, Daphne Koller
2006	J	`jnl`	A Continuation Method for Nash Equilibria in Structured Games. J. Artif. Intell. Res. Ben Blum, Christian R. Shelton, Daphne Koller
2006	A*	`conf`	Constructing informative priors using transfer learning. ICML Rajat Raina, Andrew Y. Ng, Daphne Koller
2006	A	`conf`	Continuous Time Markov Networks. UAI Tal El-Hay, Nir Friedman, Daphne Koller, Raz Kupferman
2006	—	`conf`	Efficient Structure Learning of Markov Networks using L NIPS Su-In Lee, Varun Ganapathi, Daphne Koller
2006	J	`jnl`	Learning Factor Graphs in Polynomial Time and Sample Complexity. J. Mach. Learn. Res. Pieter Abbeel, Daphne Koller, Andrew Y. Ng
2006	—	`conf`	Learning Object Shape: From Drawings to Images. CVPR (2) Gal Elidan, Geremy Heitz, Daphne Koller
2006	—	`conf`	Max-margin classification of incomplete data. NIPS Gal Chechik, Geremy Heitz, Gal Elidan, Pieter Abbeel, Daphne Koller
2006	—	`conf`	Object Pose Detection in Range Scan Data. CVPR (2) Jim Rodgers, Dragomir Anguelov, Hoi-Cheung Pang, Daphne Koller
2006	A	`conf`	Residual Belief Propagation: Informed Scheduling for Asynchronous Message Passing. UAI Gal Elidan, Ian McGraw, Daphne Koller
2006	—	`conf`	Temporal and Cross-Subject Probabilistic Models for fMRI Prediction Tasks. NIPS Alexis J. Battle, Gal Chechik, Daphne Koller
2006	—	`conf`	Using Combinatorial Optimization within Max-Product Belief Propagation. NIPS John C. Duchi, Daniel Tarlow, Gal Elidan, Daphne Koller
2005	—	`conf`	Discriminative Learning of Markov Random Fields for Segmentation of 3D Scan Data. CVPR (2) Dragomir Anguelov, Benjamin Taskar, Vassil Chatalbashev, Daphne Koller, Dinkar Gupta, Geremy Heitz, Andrew Y. Ng
2005	A	`conf`	Expectation Maximization and Complex Duration Distributions for Continuous Time Bayesian Networks. UAI Uri Nodelman, Christian R. Shelton, Daphne Koller
2005	A	`conf`	Expectation Propagation for Continuous Time Bayesian Networks. UAI Uri Nodelman, Daphne Koller, Christian R. Shelton
2005	A	`conf`	Learning Factor Graphs in Polynomial Time & Sample Complexity. UAI Pieter Abbeel, Daphne Koller, Andrew Y. Ng
2005	J	`jnl`	Learning Module Networks. J. Mach. Learn. Res. Eran Segal, Dana Pe'er, Aviv Regev, Daphne Koller, Nir Friedman
2005	A*	`conf`	Learning structured prediction models: a large margin approach. ICML Benjamin Taskar, Vassil Chatalbashev, Daphne Koller, Carlos Guestrin
2005	A	`conf`	Ordering-Based Search: A Simple and Effective Algorithm for Learning Bayesian Networks. UAI Marc Teyssier, Daphne Koller
2005	J	`jnl`	Probabilistic Discovery of Overlapping Cellular Processes and Their Regulation. J. Comput. Biol. Alexis J. Battle, Eran Segal, Daphne Koller
2005	J	`jnl`	SCAPE: shape completion and animation of people. ACM Trans. Graph. Dragomir Anguelov, Praveen Srinivasan, Daphne Koller, Sebastian Thrun, Jim Rodgers, James Davis
2005	—	`conf`	Word-Sense Disambiguation for Machine Translation. HLT/EMNLP David Vickrey, Luke Biewald, Marc Teyssier, Daphne Koller
2004	A*	`conf`	Detecting and Modeling Doors with Mobile Robots. ICRA Dragomir Anguelov, Daphne Koller, Evan Parker, Sebastian Thrun
2004	—	`conf`	Identifying Protein-Protein Interaction Sites on a Genome-Wide Scale. NIPS Haidong Wang, Eran Segal, Asa Ben-Hur, Daphne Koller, Douglas L. Brutlag
2004	A*	`conf`	Learning associative Markov networks. ICML Benjamin Taskar, Vassil Chatalbashev, Daphne Koller
2004	A*	`conf`	Max-Margin Parsing. EMNLP Ben Taskar, Dan Klein, Michael Collins, Daphne Koller, Christopher D. Manning
2004	A	`conf`	Multi-Agent Planning in Complex Uncertain Environments. AAMAS Daphne Koller
2004	B	`conf`	Probabilistic discovery of overlapping cellular processes and their regulation. RECOMB Alexis J. Battle, Eran Segal, Daphne Koller
2004	A	`conf`	Recovering Articulated Object Models from 3D Range Data. UAI Dragomir Anguelov, Daphne Koller, Hoi-Cheung Pang, Praveen Srinivasan, Sebastian Thrun
2004	J	`jnl`	Representation Dependence in Probabilistic Inference. J. Artif. Intell. Res. Joseph Y. Halpern, Daphne Koller
2004	J	`jnl`	Simultaneous Localization and Mapping with Sparse Extended Information Filters. Int. J. Robotics Res. Sebastian Thrun, Yufeng Liu, Daphne Koller, Andrew Y. Ng, Zoubin Ghahramani, Hugh F. Durrant-Whyte
2004	—	`conf`	The Correlated Correspondence Algorithm for Unsupervised Registration of Nonrigid Surfaces. NIPS Dragomir Anguelov, Praveen Srinivasan, Hoi-Cheung Pang, Daphne Koller, Sebastian Thrun, James Davis
2004	J	`jnl`	Understanding tuberculosis epidemiology using structured statistical models. Artif. Intell. Medicine Lise Getoor, Jeanne T. Rhee, Daphne Koller, Peter Small
2003	A*	`conf`	A Continuation Method for Nash Equilibria in Structured Games. IJCAI Ben Blum, Christian R. Shelton, Daphne Koller
2003	J	`jnl`	Being Bayesian About Network Structure. A Bayesian Approach to Structure Discovery in Bayesian Networks. Mach. Learn. Nir Friedman, Daphne Koller
2003	Misc	`conf`	Decomposing Gene Expression into Cellular Processes. Pacific Symposium on Biocomputing Eran Segal, Alexis J. Battle, Daphne Koller
2003	—	`conf`	Discovering molecular pathways from protein interaction and gene expression data. ISMB (Supplement of Bioinformatics) Eran Segal, Haidong Wang, Daphne Koller
2003	J	`jnl`	Efficient Solution Algorithms for Factored MDPs. J. Artif. Intell. Res. Carlos Guestrin, Daphne Koller, Ronald Parr, Shobha Venkataraman
2003	A*	`conf`	FastSLAM 2.0: An Improved Particle Filtering Algorithm for Simultaneous Localization and Mapping that Provably Converges. IJCAI Michael Montemerlo, Sebastian Thrun, Daphne Koller, Ben Wegbreit
2003	J	`jnl`	From Statistical Knowledge Bases to Degrees of Belief CoRR Fahiem Bacchus, Adam J. Grove, Joseph Y. Halpern, Daphne Koller
2003	A*	`conf`	Generalizing Plans to New Environments in Relational MDPs. IJCAI Carlos Guestrin, Daphne Koller, Chris Gearhart, Neal Kanodia
2003	—	`conf`	Genome-wide discovery of transcriptional modules from DNA sequence and gene expression. ISMB (Supplement of Bioinformatics) Eran Segal, R. Yelensky, Daphne Koller
2003	A	`conf`	Learning Continuous Time Bayesian Networks. UAI Uri Nodelman, Christian R. Shelton, Daphne Koller
2003	A	`conf`	Learning Module Networks. UAI Eran Segal, Dana Pe'er, Aviv Regev, Daphne Koller, Nir Friedman
2003	A*	`conf`	Learning on the Test Data: Leveraging Unseen Features. ICML Benjamin Taskar, Ming Fai Wong, Daphne Koller
2003	—	`conf`	Link Prediction in Relational Data. NIPS Benjamin Taskar, Ming Fai Wong, Pieter Abbeel, Daphne Koller
2003	—	`conf`	Max-Margin Markov Networks. NIPS Benjamin Taskar, Carlos Guestrin, Daphne Koller
2003	J	`jnl`	Multi-agent influence diagrams for representing and solving games. Games Econ. Behav. Daphne Koller, Brian Milch
2003	J	`jnl`	Representation Dependence in Probabilistic Inference CoRR Joseph Y. Halpern, Daphne Koller
2003	A*	`conf`	Statistical learning from relational data. KDD Daphne Koller
2002	—	`conf`	Context-Specific Multiagent Coordination and Planning with Factored MDPs. AAAI/IAAI Carlos Guestrin, Shobha Venkataraman, Daphne Koller
2002	A	`conf`	Continuous Time Bayesian Networks. UAI Uri Nodelman, Christian R. Shelton, Daphne Koller
2002	A	`conf`	Discriminative Probabilistic Models for Relational Data. UAI Benjamin Taskar, Pieter Abbeel, Daphne Koller
2002	—	`conf`	FastSLAM: A Factored Solution to the Simultaneous Localization and Mapping Problem. AAAI/IAAI Michael Montemerlo, Sebastian Thrun, Daphne Koller, Ben Wegbreit
2002	B	`conf`	From promoter sequence to expression: a probabilistic framework. RECOMB Eran Segal, Yoseph Barash, Itamar Simon, Nir Friedman, Daphne Koller
2002	A	`conf`	Learning Hierarchical Object Maps of Non-Stationary Environments with Mobile Robots. UAI Dragomir Anguelov, Rahul Biswas, Daphne Koller, Benson Limketkai, Sebastian Thrun
2002	J	`jnl`	Learning Probabilistic Models of Link Structure. J. Mach. Learn. Res. Lise Getoor, Nir Friedman, Daphne Koller, Benjamin Taskar
2002	A	`conf`	Monitoring a Complez Physical System using a Hybrid Dynamic Bayes Net. UAI Uri Lerner, Brooks Moses, Maricia Scott, Sheila A. McIlraith, Daphne Koller
2002	—	`conf`	Multi-Agent Algorithms for Solving Graphical Games. AAAI/IAAI David Vickrey, Daphne Koller
2002	B	`conf`	Probabilistic hierarchical clustering for biological data. RECOMB Eran Segal, Daphne Koller
2002	C	`conf`	Simultaneous Mapping and Localization with Sparse Extended Information Filters: Theory and Initial Results. WAFR Sebastian Thrun, Daphne Koller, Zoubin Ghahramani, Hugh F. Durrant-Whyte, Andrew Y. Ng
2001	A*	`conf`	Active Learning for Structure in Bayesian Networks. IJCAI Simon Tong, Daphne Koller
2001	A	`conf`	Exact Inference in Networks with Discrete Children of Continuous Parents. UAI Uri Lerner, Eran Segal, Daphne Koller
2001	A*	`conf`	Learning Probabilistic Models of Relational Structure. ICML Lise Getoor, Nir Friedman, Daphne Koller, Benjamin Taskar
2001	A*	`conf`	Learning an Agent's Utility Function by Observing Behavior. ICML Urszula Chajewska, Daphne Koller, Dirk Ormoneit
2001	A*	`conf`	Max-norm Projections for Factored MDPs. IJCAI Carlos Guestrin, Daphne Koller, Ronald Parr
2001	A*	`conf`	Multi-Agent Influence Diagrams for Representing and Solving Games. IJCAI Daphne Koller, Brian Milch
2001	—	`conf`	Multiagent Planning with Factored MDPs. NIPS Carlos Guestrin, Daphne Koller, Ronald Parr
2001	—	`conf`	Probabilistic Abstraction Hierarchies. NIPS Eran Segal, Daphne Koller, Dirk Ormoneit
2001	A*	`conf`	Probabilistic Classification and Clustering in Relational Data. IJCAI Benjamin Taskar, Eran Segal, Daphne Koller
2001	—	`conf`	Rich probabilistic models for gene expression. ISMB (Supplement of Bioinformatics) Eran Segal, Benjamin Taskar, Audrey P. Gasch, Nir Friedman, Daphne Koller
2001	—	`ch.`	Sampling in Factored Dynamic Systems. Sequential Monte Carlo Methods in Practice Daphne Koller, Uri Lerner
2001	—	`conf`	Selectivity Estimation using Probabilistic Models. SIGMOD Conference Lise Getoor, Benjamin Taskar, Daphne Koller
2001	J	`jnl`	Support Vector Machine Active Learning with Applications to Text Classification. J. Mach. Learn. Res. Simon Tong, Daphne Koller
2001	A	`ed.`	UAI '01: Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence, University of Washington, Seattle, Washington, USA, August 2-5, 2001 UAI Jack S. Breese, Daphne Koller
2000	—	`conf`	Active Learning for Parameter Estimation in Bayesian Networks. NIPS Simon Tong, Daphne Koller
2000	—	`conf`	Bayesian Fault Detection and Diagnosis in Dynamic Systems. AAAI/IAAI Uri Lerner, Ronald Parr, Daphne Koller, Gautam Biswas
2000	A	`conf`	Being Bayesian about Network Structure. UAI Nir Friedman, Daphne Koller
2000	—	`conf`	Discovering Hidden Variables: A Structure-Based Approach. NIPS Gal Elidan, Noam Lotner, Nir Friedman, Daphne Koller
2000	J	`jnl`	First-order conditional logic for default reasoning revisited. ACM Trans. Comput. Log. Nir Friedman, Joseph Y. Halpern, Daphne Koller
2000	—	`conf`	Making Rational Decisions Using Adaptive Utility Elicitation. AAAI/IAAI Urszula Chajewska, Daphne Koller, Ronald Parr
2000	A	`conf`	Policy Iteration for Factored MDPs. UAI Daphne Koller, Ronald Parr
2000	A	`conf`	Probabilistic Models for Agent's Beliefs and Decisions. UAI Brian Milch, Daphne Koller
2000	—	`conf`	Restricted Bayes Optimal Classifiers. AAAI/IAAI Simon Tong, Daphne Koller
2000	—	`conf`	Semantics and Inference for Recursive Probability Models. AAAI/IAAI Avi Pfeffer, Daphne Koller
2000	A*	`conf`	Support Vector Machine Active Learning with Application sto Text Classification. ICML Simon Tong, Daphne Koller
2000	—	`conf`	Using Feature Hierarchies in Bayesian Network Learning. SARA Marie desJardins, Lise Getoor, Daphne Koller
2000	A	`conf`	Utilities as Random Variables: Density Estimation and Structure Discovery. UAI Urszula Chajewska, Daphne Koller
1999	A	`conf`	A General Algorithm for Approximate Inference and Its Application to Hybrid Bayes Nets. UAI Daphne Koller, Uri Lerner, Dragomir Anguelov
1999	A*	`conf`	Computing Factored Value Functions for Policies in Structured MDPs. IJCAI Daphne Koller, Ronald Parr
1999	A	`conf`	Discovering the Hidden Structure of Complex Dynamic Systems. UAI Xavier Boyen, Nir Friedman, Daphne Koller
1999	A*	`conf`	Efficient Reinforcement Learning in Factored MDPs. IJCAI Michael J. Kearns, Daphne Koller
1999	—	`conf`	Exploiting the Architecture of Dynamic Systems. AAAI/IAAI Xavier Boyen, Daphne Koller
1999	A*	`conf`	Learning Probabilistic Relational Models. IJCAI Nir Friedman, Lise Getoor, Daphne Koller, Avi Pfeffer
1999	—	`conf`	Policy Search via Density Estimation. NIPS Andrew Y. Ng, Ronald Parr, Daphne Koller
1999	B	`conf`	Probabilistic Relational Models. ILP Daphne Koller
1999	—	`conf`	Reinforcement Learning Using Approximate Belief States. NIPS Andres C. Rodriguez, Ronald Parr, Daphne Koller
1999	A	`conf`	SPOOK: A system for probabilistic object-oriented knowledge representation. UAI Avi Pfeffer, Daphne Koller, Brian Milch, Ken T. Takusagawa
1998	—	`conf`	Approximate Learning of Dynamic Models. NIPS Xavier Boyen, Daphne Koller
1998	J	`jnl`	First-Order Conditional Logic Revisited CoRR Nir Friedman, Joseph Y. Halpern, Daphne Koller
1998	—	`conf`	Probabilistic Frame-Based Systems. AAAI/IAAI Daphne Koller, Avi Pfeffer
1998	—	`conf`	Structured Probabilistic Models: Bayesian Networks and Beyond. AAAI/IAAI Daphne Koller
1998	—	`conf`	Structured Representation of Complex Stochastic Systems. AAAI/IAAI Nir Friedman, Daphne Koller, Avi Pfeffer
1998	A	`conf`	Tractable Inference for Complex Stochastic Processes. UAI Xavier Boyen, Daphne Koller
1998	A*	`conf`	Using Learning for Approximation in Stochastic Processes. ICML Daphne Koller, Raya Fratkina
1997	J	`jnl`	(De)randomized Construction of Small Sample Spaces in NC. J. Comput. Syst. Sci. David R. Karger, Daphne Koller
1997	J	`jnl`	Adaptive Probabilistic Networks with Hidden Variables. Mach. Learn. John Binder, Daphne Koller, Stuart Russell, Keiji Kanazawa
1997	—	`conf`	Effective Bayesian Inference for Stochastic Programs. AAAI/IAAI Daphne Koller, David A. McAllester, Avi Pfeffer
1997	A*	`conf`	Hierarchically Classifying Documents Using Very Few Words. ICML Daphne Koller, Mehran Sahami
1997	—	`conf`	Learning Probabilities for Noisy First-Order Rules. IJCAI Daphne Koller, Avi Pfeffer
1997	A	`conf`	Nonuniform Dynamic Discretization in Hybrid Networks. UAI Alexander V. Kozlov, Daphne Koller
1997	A	`conf`	Object-Oriented Bayesian Networks. UAI Daphne Koller, Avi Pfeffer
1997	—	`conf`	P-CLASSIC: A Tractable Probablistic Description Logic. AAAI/IAAI Daphne Koller, Alon Y. Levy, Avi Pfeffer
1997	J	`jnl`	Representations and Solutions for Game-Theoretic Problems. Artif. Intell. Daphne Koller, Avi Pfeffer
1997	A	`conf`	Update Rules for Parameter Estimation in Bayesian Networks. UAI Eric Bauer, Daphne Koller, Yoram Singer
1997	A*	`conf`	Using Probabilistic Information in Data Integration. VLDB Daniela Florescu, Daphne Koller, Alon Y. Levy
1996	J	`jnl`	Asymptotic Conditional Probabilities: The Non-Unary Case. J. Symb. Log. Adam J. Grove, Joseph Y. Halpern, Daphne Koller
1996	J	`jnl`	Asymptotic Conditional Probabilities: The Unary Case. SIAM J. Comput. Adam J. Grove, Joseph Y. Halpern, Daphne Koller
1996	A	`conf`	Context-Specific Independence in Bayesian Networks. UAI Craig Boutilier, Nir Friedman, Moisés Goldszmidt, Daphne Koller
1996	—	`conf`	First-Order Conditional Logic Revisited. AAAI/IAAI, Vol. 2 Nir Friedman, Joseph Y. Halpern, Daphne Koller
1996	J	`jnl`	From Statistical Knowledge Bases to Degrees of Belief. Artif. Intell. Fahiem Bacchus, Adam J. Grove, Joseph Y. Halpern, Daphne Koller
1996	—	`conf`	Irrelevance and Conditioning in First-Order Probabilistic Logic. AAAI/IAAI, Vol. 1 Daphne Koller, Joseph Y. Halpern
1996	J	`jnl`	Structured Representations and Intractability. ACM Comput. Surv. Daphne Koller
1996	A*	`conf`	Toward Optimal Feature Selection. ICML Daphne Koller, Mehran Sahami
1995	—	`conf`	A Game-Theoretic Classification of Interactive Complexity Classes. SCT Joan Feigenbaum, Daphne Koller, Peter W. Shor
1995	A*	`conf`	An Integrated Stereo-Based Approach to Automatic Vehicle Guidance. ICCV Quang-Tuan Luong, Joseph Weber, Daphne Koller, Jitendra Malik
1995	C	`conf`	Constructing Flexible Dynamic Belief Networks from First-Order Probalistic Knowledge Bases. ECSQARU Sabine Glesner, Daphne Koller
1995	A*	`conf`	Generating and Solving Imperfect Information Games. IJCAI Daphne Koller, Avi Pfeffer
1995	A*	`conf`	Local Learning in Probabilistic Networks with Hidden Variables. IJCAI Stuart Russell, John Binder, Daphne Koller, Keiji Kanazawa
1995	A*	`conf`	Representation Dependence in Probabilistic Inference. IJCAI Joseph Y. Halpern, Daphne Koller
1995	A	`conf`	Stochastic simulation algorithms for dynamic probabilistic networks. UAI Keiji Kanazawa, Daphne Koller, Stuart Russell
1994	A*	`conf`	(De)randomized Construction of Small Sample Spaces in \calNC FOCS David R. Karger, Daphne Koller
1994	J	`jnl`	A Response to "Believing on the Basis of the Evidence". Comput. Intell. Fahiem Bacchus, Adam J. Grove, Joseph Y. Halpern, Daphne Koller
1994	A*	`conf`	Automatic Symbolic Traffic Scene Analysis Using Belief Networks. AAAI Timothy Huang, Daphne Koller, Jitendra Malik, Gary H. Ogasawara, Bobby S. Rao, Stuart Russell, Joseph Weber
1994	J	`jnl`	Constructing Small Sample Spaces Satisfying Given Constraints. SIAM J. Discret. Math. Daphne Koller, Nimrod Megiddo
1994	A*	`conf`	Fast algorithms for finding randomized strategies in game trees. STOC Daphne Koller, Nimrod Megiddo, Bernhard von Stengel
1994	A*	`conf`	Forming Beliefs about a Changing World. AAAI Fahiem Bacchus, Adam J. Grove, Joseph Y. Halpern, Daphne Koller
1994	A	`conf`	Generating New Beliefs from Old. UAI Fahiem Bacchus, Adam J. Grove, Joseph Y. Halpern, Daphne Koller
1994	J	`jnl`	Random Worlds and Maximum Entropy. CoRR Adam J. Grove, Joseph Y. Halpern, Daphne Koller
1994	J	`jnl`	Random Worlds and Maximum Entropy. J. Artif. Intell. Res. Adam J. Grove, Joseph Y. Halpern, Daphne Koller
1994	—	`conf`	Towards robust automatic traffic scene analysis in real-time. ICPR (1) Daphne Koller, Joseph Weber, Timothy Huang, Jitendra Malik, Gary H. Ogasawara, Stuart Russell, Bobby S. Rao
1993	A*	`conf`	Constructing small sample spaces satisfying given constraints. STOC Daphne Koller, Nimrod Megiddo
1993	J	`jnl`	Finding the Hidden Path: Time Bounds for All-Pairs Shortest Paths. SIAM J. Comput. David R. Karger, Daphne Koller, Steven J. Phillips
1993	—	`conf`	Generating Degrees of Belief from Statistical Information: An Overview. FSTTCS Fahiem Bacchus, Adam J. Grove, Joseph Y. Halpern, Daphne Koller
1993	A*	`conf`	Statistical Foundations for Default Reasoning. IJCAI Fahiem Bacchus, Adam J. Grove, Joseph Y. Halpern, Daphne Koller
1992	A*	`conf`	A Logic for Approximate Reasoning. KR Daphne Koller, Joseph Y. Halpern
1992	A*	`conf`	Asymptotic Conditional Probabilities for First-Order Logic STOC Adam J. Grove, Joseph Y. Halpern, Daphne Koller
1992	A*	`conf`	From Statistics to Beliefs. AAAI Fahiem Bacchus, Adam J. Grove, Daphne Koller, Joseph Y. Halpern
1992	A*	`conf`	Random Worlds and Maximum Entropy LICS Adam J. Grove, Joseph Y. Halpern, Daphne Koller
1991	J	`jnl`	Fault-Tolerant Critical Section Management in Asynchronous Environments Inf. Comput. Amotz Bar-Noy, Danny Dolev, Daphne Koller, David Peleg
1991	A*	`conf`	Finding the Hidden Path: Time Bounds for All-Pairs Shortest Paths FOCS David R. Karger, Daphne Koller, Steven J. Phillips
1991	A	`conf`	Probability Estimation in Face of Irrelevant Information. UAI Adam J. Grove, Daphne Koller
1989	—	`conf`	Fault-Tolerant Critical Section Management in Asynchronous Networks. WDAG Amotz Bar-Noy, Danny Dolev, Daphne Koller, David Peleg
1987	A*	`conf`	Achievable Cases in an Asynchronous Environment (Extended Abstract) FOCS Hagit Attiya, Amotz Bar-Noy, Danny Dolev, Daphne Koller, David Peleg, Rüdiger Reischuk