Koller, Daphne

143 publications

ICLRW 2025 Roll-AE: A Spatiotemporal Invariant Autoencoder for Uncovering Neuronal Electrophysiological Patterns Tommaso Dreossi, Rounak Dey, Emily Fox, Daphne Koller

NeurIPSW 2023 Machine Learning Derived Embeddings of Bulk Multi-Omics Data Enable Clinically Significant Representations in a Pan-Cancer Cohort Sanjay Nagaraj, Zachary R McCaw, Theofanis Karaletsos, Daphne Koller, Anna Shcherbina

NeurIPSW 2021 Regression Modeling on DNA Encoded Libraries Ralph Ma, Gabriel H. S. Dreiman, Fiorella Ruggiu, Adam Joseph Riesselman, Bowen Liu, Keith James, Mohammad Sultan, Daphne Koller

AISTATS 2019 Inferring Multidimensional Rates of Aging from Cross-Sectional Data Emma Pierson, Pang Wei Koh, Tatsunori Hashimoto, Daphne Koller, Jure Leskovec, Nick Eriksson, Percy Liang

ICCV 2013 Combining the Right Features for Complex Event Recognition Kevin Tang, Bangpeng Yao, Li Fei-Fei, Daphne Koller

CVPR 2012 A Combined Pose, Object, and Feature Model for Action Understanding Benjamin Packer, Kate Saenko, Daphne Koller

CVPR 2012 Learning Latent Temporal Structure for Complex Event Detection Kevin D. Tang, Li Fei-Fei, Daphne Koller

AISTATS 2012 Max-Margin Min-Entropy Models Kevin Miller, M. Pawan Kumar, Ben Packer, Danny Goodman, Daphne Koller

ICML 2012 Modeling Latent Variable Uncertainty for Loss-Based Learning M. Pawan Kumar, Benjamin Packer, Daphne Koller

ECCV 2012 Real-Time Human Pose Tracking from Range Data Varun Ganapathi, Christian Plagemann, Daphne Koller, Sebastian Thrun

NeurIPS 2012 Shifting Weights: Adapting Object Detectors from Image to Video Kevin Tang, Vignesh Ramanathan, Li Fei-fei, Daphne Koller

ECCV 2012 What Makes a Good Detector? - Structured Priors for Learning from Few Examples Tianshi Gao, Michael Stark, Daphne Koller

CVPR 2011 A Segmentation-Aware Object Detection Model with Occlusion Handling Tianshi Gao, Benjamin Packer, Daphne Koller

NeurIPS 2011 Active Classification Based on Value of Classifier Tianshi Gao, Daphne Koller

AISTATS 2011 Convex Envelopes of Complexity Controlling Penalties: The Case Against Premature Envelopment Vladimir Jojic, Suchi Saria, Daphne Koller

IJCAI 2011 Discovering Deformable Motifs in Continuous Time Series Data Suchi Saria, Andrew Duchi, Daphne Koller

ICCV 2011 Discriminative Learning of Relaxed Hierarchy for Large-Scale Visual Recognition Tianshi Gao, Daphne Koller

ICCV 2011 Learning Specific-Class Segmentation from Diverse Data M. Pawan Kumar, Haithem Turki, Dan Preston, Daphne Koller

CVPR 2011 Multi-Level Inference by Relaxed Dual Decomposition for Human Pose Segmentation Huayan Wang, Daphne Koller

ICML 2011 Multiclass Boosting with Hinge Loss Based on Output Coding Tianshi Gao, Daphne Koller

ECCV 2010 A Unified Contour-Pixel Model for Figure-Ground Segmentation Benjamin Packer, Stephen Gould, Daphne Koller

ICML 2010 Accelerated Dual Decomposition for MAP Inference Vladimir Jojic, Stephen Gould, Daphne Koller

ECCV 2010 Discriminative Learning with Latent Variables for Cluttered Indoor Scene Understanding Huayan Wang, Stephen Gould, Daphne Koller

CVPR 2010 Efficiently Selecting Regions for Scene Understanding M. Pawan Kumar, Daphne Koller

ICML 2010 Non-Local Contrastive Objectives David Vickrey, Cliff Chiung-Yu Lin, Daphne Koller

CVPR 2010 Real Time Motion Capture Using a Single Time-of-Flight Camera Varun Ganapathi, Christian Plagemann, Daphne Koller, Sebastian Thrun

NeurIPS 2010 Self-Paced Learning for Latent Variable Models M. P. Kumar, Benjamin Packer, Daphne Koller

CVPR 2010 Single Image Depth Estimation from Predicted Semantic Labels Beyang Liu, Stephen Gould, Daphne Koller

CVPR 2009 Alphabet SOUP: A Framework for Approximate Energy Minimization Stephen Gould, Fernando Amat, Daphne Koller

ICCV 2009 Decomposing a Scene into Geometric and Semantically Consistent Regions Stephen Gould, Richard Fulton, Daphne Koller

NeurIPS 2009 Learning a Small Mixture of Trees M. P. Kumar, Daphne Koller

UAI 2009 MAP Estimation of Semi-Metric MRFs via Hierarchical Graph Cuts M. Pawan Kumar, Daphne Koller

NeurIPS 2009 Region-Based Segmentation and Object Detection Stephen Gould, Tianshi Gao, Daphne Koller

NeurIPS 2008 Cascaded Classification Models: Combining Models for Holistic Scene Understanding Geremy Heitz, Stephen Gould, Ashutosh Saxena, Daphne Koller

UAI 2008 Constrained Approximate Maximum Entropy Learning of Markov Random Fields Varun Ganapathi, David Vickrey, John C. Duchi, Daphne Koller

UAI 2008 Convex Point Estimation Using Undirected Bayesian Transfer Hierarchies Gal Elidan, Benjamin Packer, Geremy Heitz, Daphne Koller

ECCV 2008 Learning Spatial Context: Using Stuff to Find Things Geremy Heitz, Daphne Koller

JMLR 2008 Max-Margin Classification of Data with Absent Features Gal Chechik, Geremy Heitz, Gal Elidan, Pieter Abbeel, Daphne Koller

UAI 2008 Projected Subgradient Methods for Learning Sparse Gaussians John C. Duchi, Stephen Gould, Daphne Koller

NeurIPS 2008 Shape-Based Object Localization for Descriptive Classification Geremy Heitz, Gal Elidan, Benjamin Packer, Daphne Koller

ICML 2007 Learning a Meta-Level Prior for Feature Relevance from Multiple Related Tasks Su-In Lee, Vassil Chatalbashev, David Vickrey, Daphne Koller

UAI 2007 Reasoning at the Right Time Granularity Suchi Saria, Uri Nodelman, Daphne Koller

JAIR 2006 A Continuation Method for Nash Equilibria in Structured Games Ben Blum, Christian R. Shelton, Daphne Koller

ICML 2006 Constructing Informative Priors Using Transfer Learning Rajat Raina, Andrew Y. Ng, Daphne Koller

UAI 2006 Continuous Time Markov Networks Tal El-Hay, Nir Friedman, Daphne Koller, Raz Kupferman

NeurIPS 2006 Efficient Structure Learning of Markov Networks Using $l_1$-Regularization Su-in Lee, Varun Ganapathi, Daphne Koller

JMLR 2006 Learning Factor Graphs in Polynomial Time and Sample Complexity Pieter Abbeel, Daphne Koller, Andrew Y. Ng

CVPR 2006 Learning Object Shape: From Drawings to Images Gal Elidan, Geremy Heitz, Daphne Koller

NeurIPS 2006 Max-Margin Classification of Incomplete Data Gal Chechik, Geremy Heitz, Gal Elidan, Pieter Abbeel, Daphne Koller

CVPR 2006 Object Pose Detection in Range Scan Data Jim Rodgers, Dragomir Anguelov, Hoi-Cheung Pang, Daphne Koller

UAI 2006 Residual Belief Propagation: Informed Scheduling for Asynchronous Message Passing Gal Elidan, Ian McGraw, Daphne Koller

NeurIPS 2006 Temporal and Cross-Subject Probabilistic Models for fMRI Prediction Tasks Alexis Battle, Gal Chechik, Daphne Koller

NeurIPS 2006 Using Combinatorial Optimization Within Max-Product Belief Propagation Daniel Tarlow, Gal Elidan, Daphne Koller, John C. Duchi

CVPR 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

UAI 2005 Expectation Maximization and Complex Duration Distributions for Continuous Time Bayesian Networks Uri Nodelman, Christian R. Shelton, Daphne Koller

UAI 2005 Expectation Propagation for Continuous Time Bayesian Networks Uri Nodelman, Daphne Koller, Christian R. Shelton

UAI 2005 Learning Factor Graphs in Polynomial Time & Sample Complexity Pieter Abbeel, Daphne Koller, Andrew Y. Ng

JMLR 2005 Learning Module Networks Eran Segal, Dana Pe'er, Aviv Regev, Daphne Koller, Nir Friedman

ICML 2005 Learning Structured Prediction Models: A Large Margin Approach Benjamin Taskar, Vassil Chatalbashev, Daphne Koller, Carlos Guestrin

UAI 2005 Ordering-Based Search: A Simple and Effective Algorithm for Learning Bayesian Networks Marc Teyssier, Daphne Koller

NeurIPS 2004 Identifying Protein-Protein Interaction Sites on a Genome-Wide Scale Haidong Wang, Eran Segal, Asa Ben-Hur, Daphne Koller, Douglas L. Brutlag

ICML 2004 Learning Associative Markov Networks Benjamin Taskar, Vassil Chatalbashev, Daphne Koller

UAI 2004 Recovering Articulated Object Models from 3D Range Data Dragomir Anguelov, Daphne Koller, Hoi-Cheung Pang, Praveen Srinivasan, Sebastian Thrun

JAIR 2004 Representation Dependence in Probabilistic Inference Joseph Y. Halpern, Daphne Koller

NeurIPS 2004 The Correlated Correspondence Algorithm for Unsupervised Registration of Nonrigid Surfaces Dragomir Anguelov, Praveen Srinivasan, Hoi-cheung Pang, Daphne Koller, Sebastian Thrun, James Davis

IJCAI 2003 A Continuation Method for Nash Equilibria in Structured Games Ben Blum, Christian R. Shelton, Daphne Koller

MLJ 2003 Being Bayesian About Network Structure. a Bayesian Approach to Structure Discovery in Bayesian Networks Nir Friedman, Daphne Koller

JAIR 2003 Efficient Solution Algorithms for Factored MDPs Carlos Guestrin, Daphne Koller, Ronald Parr, Shobha Venkataraman

IJCAI 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

IJCAI 2003 Generalizing Plans to New Environments in Relational MDPs Carlos Guestrin, Daphne Koller, Chris Gearhart, Neal Kanodia

UAI 2003 Learning Continuous Time Bayesian Networks Uri Nodelman, Christian R. Shelton, Daphne Koller

UAI 2003 Learning Module Networks Eran Segal, Dana Pe'er, Aviv Regev, Daphne Koller, Nir Friedman

ICML 2003 Learning on the Test Data: Leveraging Unseen Features Benjamin Taskar, Ming Fai Wong, Daphne Koller

NeurIPS 2003 Link Prediction in Relational Data Ben Taskar, Ming-fai Wong, Pieter Abbeel, Daphne Koller

NeurIPS 2003 Max-Margin Markov Networks Ben Taskar, Carlos Guestrin, Daphne Koller

AAAI 2002 Context-Specific Multiagent Coordination and Planning with Factored MDPs Carlos Guestrin, Shobha Venkataraman, Daphne Koller

UAI 2002 Continuous Time Bayesian Networks Uri Nodelman, Christian R. Shelton, Daphne Koller

UAI 2002 Discriminative Probabilistic Models for Relational Data Benjamin Taskar, Pieter Abbeel, Daphne Koller

AAAI 2002 FastSLAM: A Factored Solution to the Simultaneous Localization and Mapping Problem Michael Montemerlo, Sebastian Thrun, Daphne Koller, Ben Wegbreit

UAI 2002 Learning Hierarchical Object Maps of Non-Stationary Environments with Mobile Robots Dragomir Anguelov, Rahul Biswas, Daphne Koller, Benson Limketkai, Sebastian Thrun

JMLR 2002 Learning Probabilistic Models of Link Structure Lisa Getoor, Nir Friedman, Daphne Koller, Benjamin Taskar

UAI 2002 Monitoring a Complez Physical System Using a Hybrid Dynamic Bayes Net Uri Lerner, Brooks Moses, Maricia Scott, Sheila A. McIlraith, Daphne Koller

AAAI 2002 Multi-Agent Algorithms for Solving Graphical Games David Vickrey, Daphne Koller

IJCAI 2001 Active Learning for Structure in Bayesian Networks Simon Tong, Daphne Koller

UAI 2001 Exact Inference in Networks with Discrete Children of Continuous Parents Uri Lerner, Eran Segal, Daphne Koller

ICML 2001 Learning Probabilistic Models of Relational Structure Lise Getoor, Nir Friedman, Daphne Koller, Benjamin Taskar

ICML 2001 Learning an Agent's Utility Function by Observing Behavior Urszula Chajewska, Daphne Koller, Dirk Ormoneit

IJCAI 2001 Max-Norm Projections for Factored MDPs Carlos Guestrin, Daphne Koller, Ronald Parr

IJCAI 2001 Multi-Agent Influence Diagrams for Representing and Solving Games Daphne Koller, Brian Milch

NeurIPS 2001 Multiagent Planning with Factored MDPs Carlos Guestrin, Daphne Koller, Ronald Parr

NeurIPS 2001 Probabilistic Abstraction Hierarchies Eran Segal, Daphne Koller, Dirk Ormoneit

IJCAI 2001 Probabilistic Classification and Clustering in Relational Data Benjamin Taskar, Eran Segal, Daphne Koller

JMLR 2001 Support Vector Machine Active Learning with Applications to Text Classification Simon Tong, Daphne Koller

UAI 2001 UAI '01: Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence, University of Washington, Seattle, Washington, USA, August 2-5, 2001 Jack S. Breese, Daphne Koller

NeurIPS 2000 Active Learning for Parameter Estimation in Bayesian Networks Simon Tong, Daphne Koller

AAAI 2000 Bayesian Fault Detection and Diagnosis in Dynamic Systems Uri Lerner, Ronald Parr, Daphne Koller, Gautam Biswas

UAI 2000 Being Bayesian About Network Structure Nir Friedman, Daphne Koller

NeurIPS 2000 Discovering Hidden Variables: A Structure-Based Approach Gal Elidan, Noam Lotner, Nir Friedman, Daphne Koller

AAAI 2000 Making Rational Decisions Using Adaptive Utility Elicitation Urszula Chajewska, Daphne Koller, Ronald Parr

UAI 2000 Policy Iteration for Factored MDPs Daphne Koller, Ronald Parr

UAI 2000 Probabilistic Models for Agent's Beliefs and Decisions Brian Milch, Daphne Koller

AAAI 2000 Restricted Bayes Optimal Classifiers Simon Tong, Daphne Koller

AAAI 2000 Semantics and Inference for Recursive Probability Models Avi Pfeffer, Daphne Koller

ICML 2000 Support Vector Machine Active Learning with Application Sto Text Classification Simon Tong, Daphne Koller

UAI 2000 Utilities as Random Variables: Density Estimation and Structure Discovery Urszula Chajewska, Daphne Koller

UAI 1999 A General Algorithm for Approximate Inference and Its Application to Hybrid Bayes Nets Daphne Koller, Uri Lerner, Dragomir Anguelov

IJCAI 1999 Computing Factored Value Functions for Policies in Structured MDPs Daphne Koller, Ronald Parr

UAI 1999 Discovering the Hidden Structure of Complex Dynamic Systems Xavier Boyen, Nir Friedman, Daphne Koller

IJCAI 1999 Efficient Reinforcement Learning in Factored MDPs Michael J. Kearns, Daphne Koller

AAAI 1999 Exploiting the Architecture of Dynamic Systems Xavier Boyen, Daphne Koller

IJCAI 1999 Learning Probabilistic Relational Models Nir Friedman, Lise Getoor, Daphne Koller, Avi Pfeffer

NeurIPS 1999 Policy Search via Density Estimation Andrew Y. Ng, Ronald Parr, Daphne Koller

NeurIPS 1999 Reinforcement Learning Using Approximate Belief States Andres C. Rodriguez, Ronald Parr, Daphne Koller

UAI 1999 SPOOK: A System for Probabilistic Object-Oriented Knowledge Representation Avi Pfeffer, Daphne Koller, Brian Milch, Ken T. Takusagawa

NeurIPS 1998 Approximate Learning of Dynamic Models Xavier Boyen, Daphne Koller

AAAI 1998 Probabilistic Frame-Based Systems Daphne Koller, Avi Pfeffer

AAAI 1998 Structured Probabilistic Models: Bayesian Networks and Beyond Daphne Koller

AAAI 1998 Structured Representation of Complex Stochastic Systems Nir Friedman, Daphne Koller, Avi Pfeffer

UAI 1998 Tractable Inference for Complex Stochastic Processes Xavier Boyen, Daphne Koller

ICML 1998 Using Learning for Approximation in Stochastic Processes Daphne Koller, Raya Fratkina

MLJ 1997 Adaptive Probabilistic Networks with Hidden Variables John Binder, Daphne Koller, Stuart Russell, Keiji Kanazawa

AAAI 1997 Effective Bayesian Inference for Stochastic Programs Daphne Koller, David A. McAllester, Avi Pfeffer

ICML 1997 Hierarchically Classifying Documents Using Very Few Words Daphne Koller, Mehran Sahami

IJCAI 1997 Learning Probabilities for Noisy First-Order Rules Daphne Koller, Avi Pfeffer

UAI 1997 Nonuniform Dynamic Discretization in Hybrid Networks Alexander V. Kozlov, Daphne Koller

UAI 1997 Object-Oriented Bayesian Networks Daphne Koller, Avi Pfeffer

AAAI 1997 P-CLASSIC: A Tractable Probablistic Description Logic Daphne Koller, Alon Y. Levy, Avi Pfeffer

UAI 1997 Update Rules for Parameter Estimation in Bayesian Networks Eric Bauer, Daphne Koller, Yoram Singer

UAI 1996 Context-Specific Independence in Bayesian Networks Craig Boutilier, Nir Friedman, Moisés Goldszmidt, Daphne Koller

AAAI 1996 First-Order Conditional Logic Revisited Nir Friedman, Joseph Y. Halpern, Daphne Koller

AAAI 1996 Irrelevance and Conditioning in First-Order Probabilistic Logic Daphne Koller, Joseph Y. Halpern

ICML 1996 Toward Optimal Feature Selection Daphne Koller, Mehran Sahami

ICCV 1995 An Integrated Stereo-Based Approach to Automatic Vehicle Guidance Quang-Tuan Luong, Joseph Weber, Daphne Koller, Jitendra Malik

IJCAI 1995 Generating and Solving Imperfect Information Games Daphne Koller, Avi Pfeffer

IJCAI 1995 Local Learning in Probabilistic Networks with Hidden Variables Stuart Russell, John Binder, Daphne Koller, Keiji Kanazawa

IJCAI 1995 Representation Dependence in Probabilistic Inference Joseph Y. Halpern, Daphne Koller

UAI 1995 Stochastic Simulation Algorithms for Dynamic Probabilistic Networks Keiji Kanazawa, Daphne Koller, Stuart Russell

AAAI 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

AAAI 1994 Forming Beliefs About a Changing World Fahiem Bacchus, Adam J. Grove, Joseph Y. Halpern, Daphne Koller

UAI 1994 Generating New Beliefs from Old Fahiem Bacchus, Adam J. Grove, Joseph Y. Halpern, Daphne Koller

JAIR 1994 Random Worlds and Maximum Entropy Adam J. Grove, Joseph Y. Halpern, Daphne Koller

IJCAI 1993 Statistical Foundations for Default Reasoning Fahiem Bacchus, Adam J. Grove, Joseph Y. Halpern, Daphne Koller

AAAI 1992 From Statistics to Beliefs Fahiem Bacchus, Adam J. Grove, Daphne Koller, Joseph Y. Halpern