Daphne Koller

发表

Sebastian Thrun, Dragomir Anguelov, Praveen Srinivasan, 2004, NIPS.

Timing of Gene Expression Responses to Environmental Changes

Gal Chechik, Daphne Koller, D. Koller, 2009, J. Comput. Biol..

Probabilistic Models of Text and Link Structure for Hypertext Classification

Ben Taskar, Lise Getoor, Daphne Koller, 2001 .

Non-Local Contrastive Objectives

Daphne Koller, David Vickrey, Cliff Chiung-Yu Lin, 2010, ICML.

Recovering Articulated Object Models from 3D Range Data pdf

Sebastian Thrun, Dragomir Anguelov, Praveen Srinivasan, 2004, UAI.

Learning Statistical Patterns in Relational Data Using Probabilistic Relational Models

Daphne Koller, D. Koller, 2005 .

Active Learning for Structure in Bayesian Networks

Daphne Koller, Simon Tong, D. Koller, 2001, IJCAI.

A probabilistic model for component-based shape synthesis

Siddhartha Chaudhuri, Vladlen Koltun, Evangelos Kalogerakis, 2012, ACM Trans. Graph..

Discriminative learning of relaxed hierarchy for large-scale visual recognition

Daphne Koller, Tianshi Gao, D. Koller, 2011, 2011 International Conference on Computer Vision.

Stochastic simulation algorithms for dynamic probabilistic networks

Stuart J. Russell, Daphne Koller, Keiji Kanazawa, 1995, UAI.

Real-Time Human Pose Tracking from Range Data

Sebastian Thrun, Christian Plagemann, Daphne Koller, 2012, ECCV.

Uncertainty in artificial intelligence : proceedings of the Eighteenth Conference (2002) : August 1-4, 2002, University of Alberta, Edmonton

Nir Friedman, Daphne Koller, Adnan Darwiche, 2002 .

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

Sebastian Thrun, Christian Plagemann, Daphne Koller, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Support Vector Machine Active Learning with Application sto Text Classification

Daphne Koller, Simon Tong, Simon Tong, 2000, ICML.

From promoter sequence to expression: a probabilistic framework

Nir Friedman, Daphne Koller, Eran Segal, 2002, RECOMB '02.

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

Dale Schuurmans, Yoshua Bengio, Léon Bottou, 2008, NIPS.

Using Feature Hierarchies in Bayesian Network Learning

Marie desJardins, Lise Getoor, Daphne Koller, 2000, SARA.

Discovering molecular pathways from protein interaction and gene expression data

Haidong Wang, Daphne Koller, Eran Segal, 2003, ISMB.

(De)randomized Construction of Small Sample Spaces in NC

David R. Karger, Daphne Koller, D. Koller, 1997, J. Comput. Syst. Sci..

Word-Sense Disambiguation for Machine Translation

Daphne Koller, Marc Teyssier, David Vickrey, 2005, HLT.

Genovo: De Novo Assembly for Metagenomes

Daphne Koller, Vladimir Jojic, Jonathan Laserson, 2010, RECOMB.

Discriminative learning with latent variables for cluttered indoor scene understanding

Stephen Gould, Daphne Koller, Huayan Wang, 2010, CACM.

Representation Dependence in Probabilistic Inference

Joseph Y. Halpern, Daphne Koller, D. Koller, 1995, IJCAI.

Shape-Based Object Localization for Descriptive Classification

Daphne Koller, Benjamin Packer, Gal Elidan, 2008, International Journal of Computer Vision.

Probabilistic reasoning for complex systems

Daphne Koller, Avrom Jacob Pfeffer, A. Pfeffer, 1999 .

Active Learning for Parameter Estimation in Bayesian Networks

Daphne Koller, Simon Tong, D. Koller, 2000, NIPS.

Object Pose Detection in Range Scan Data

Dragomir Anguelov, Hoi-Cheung Pang, Daphne Koller, 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

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

Kate Saenko, Daphne Koller, Benjamin Packer, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

Learning Factor Graphs in Polynomial Time & Sample Complexity

Pieter Abbeel, Andrew Y. Ng, Daphne Koller, 2005, UAI.

Learning a Small Mixture of Trees

Daphne Koller, M. Pawan Kumar, D. Koller, 2009, NIPS.

An Active Learning Approach to Finding Related Terms

Oscar Kipersztok, Daphne Koller, David Vickrey, 2010, ACL.

Abstract

Rajat Raina, Andrew Y. Ng, Daphne Koller, 1997, Veterinary Record.

Inferring Multidimensional Rates of Aging from Cross-Sectional Data

Jure Leskovec, Nicholas Eriksson, Daphne Koller, 2018, AISTATS.

An integrated stereo-based approach to automatic vehicle guidance

Jitendra Malik, Daphne Koller, Joseph Weber, 1995, Proceedings of IEEE International Conference on Computer Vision.

Policy Iteration for Factored MDPs

Daphne Koller, Ronald Parr, Ronald E. Parr, 2000, UAI.

Expectation Propagation for Continuous Time Bayesian Networks

Daphne Koller, Christian R. Shelton, Uri Nodelman, 2005, UAI.

Semantics and Inference for Recursive Probability Models

Avi Pfeffer, Daphne Koller, D. Koller, 2000, AAAI/IAAI.

A Logic for Approximate Reasoning

Joseph Y. Halpern, Daphne Koller, 1992, KR.

Accelerated dual decomposition for MAP inference

Stephen Gould, Daphne Koller, Vladimir Jojic, 2010, ICML.

5 Probabilistic Relational Models

Lise Getoor, Avi Pfeffer, Nir Friedman, 2008 .

Probabilistic Graphical Models - Principles and Techniques

Nir Friedman, Daphne Koller, D. Koller, 2009 .

Probabilistic Discovery of Overlapping Cellular Processes and Their Regulation

Daphne Koller, Alexis Battle, Eran Segal, 2005, J. Comput. Biol..

Active learning: theory and applications

Daphne Koller, Simon Tong, D. Koller, 2001 .

Restricted Bayes Optimal Classifiers

Daphne Koller, Simon Tong, D. Koller, 2000, AAAI/IAAI.

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

Daphne Koller, John S. Breese, J. Breese, 2001, ArXiv.

Probabilistic Classification and Clustering in Relational Data

Ben Taskar, Daphne Koller, Eran Segal, 2001, IJCAI.

A game-theoretic classification of interactive complexity classes

Joan Feigenbaum, Daphne Koller, Peter W. Shor, 1995, Proceedings of Structure in Complexity Theory. Tenth Annual IEEE Conference.

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

Michael Stark, Daphne Koller, Tianshi Gao, 2012, ECCV.

Residual Belief Propagation: Informed Scheduling for Asynchronous Message Passing pdf

Ian McGraw, Daphne Koller, Gal Elidan, 2006, UAI.

Structured Representation of Complex Stochastic Systems

Avi Pfeffer, Nir Friedman, Daphne Koller, 1998, AAAI/IAAI.

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

Dragomir Anguelov, Uri Lerner, Daphne Koller, 1999, UAI.

Using machine learning to improve information access

Daphne Koller, Mehran Sahami, M. Sahami, 1998 .

Efficient Reinforcement Learning in Factored MDPs

Michael Kearns, Daphne Koller, M. Kearns, 1999, IJCAI.

2009 IEEE 12th International Conference on Computer Vision (ICCV)

Larry S. Davis, Subhransu Maji, Daniel Cremers, 2009 .

Automatic Symbolic Traffic Scene Analysis Using Belief Networks

Jitendra Malik, Stuart J. Russell, Daphne Koller, 1994, AAAI.

A Fast and Exact Energy Minimization Algorithm for Cycle MRFs

Daphne Koller, Huayan Wang, D. Koller, 2013, ICML.

Learning Continuous Time Bayesian Networks pdf

Daphne Koller, Christian R. Shelton, Uri Nodelman, 2002, UAI.

Tuned Models of Peer Assessment in MOOCs

Zhenghao Chen, Andrew Y. Ng, Daphne Koller, 2013, EDM.

Learning an Agent's Utility Function by Observing Behavior

Daphne Koller, Dirk Ormoneit, Urszula Chajewska, 2001, ICML.

Approximate Learning of Dynamic Models

Xavier Boyen, Daphne Koller, D. Koller, 1998, NIPS.

Discovering shared and individual latent structure in multiple time series pdf

Suchi Saria, Daphne Koller, Anna Penn, 2010, ArXiv.

Structured representations and intractability

Daphne Koller, D. Koller, 1996, CSUR.

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

Daphne Koller, Eran Segal, R. Yelensky, 2003, ISMB.

Object-Oriented Bayesian Networks

Avi Pfeffer, Daphne Koller, D. Koller, 1997, UAI.

Multi-Agent Influence Diagrams for Representing and Solving Games

Daphne Koller, Brian Milch, D. Koller, 2001, IJCAI.

Fine-Grained Categorization for 3D Scene Understanding

James J. Little, Bernt Schiele, Jonathan Krause, 2012, BMVC.

The online revolution: education for everyone

Andrew Y. Ng, Daphne Koller, A. Ng, 2013, KDD.

Update Rules for Parameter Estimation in Bayesian Networks

Eric Bauer, Yoram Singer, Daphne Koller, 1997, UAI.

Towards robust automatic traffic scene analysis in real-time

Jitendra Malik, Stuart J. Russell, Daphne Koller, 1994, Proceedings of 12th International Conference on Pattern Recognition.

Support Vector Machine Active Learning with Applications to Text Classification

Daphne Koller, Simon Tong, D. Koller, 2000, J. Mach. Learn. Res..

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

Daphne Koller, Huayan Wang, D. Koller, 2013, ICML.

Context-Specific Independence in Bayesian Networks pdf

Craig Boutilier, Nir Friedman, Daphne Koller, 1996, UAI.

Being Bayesian about Network Structure

Nir Friedman, Daphne Koller, D. Koller, 2000, UAI.

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

Sebastian Thrun, Michael Montemerlo, Daphne Koller, 2003, IJCAI.

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

Andrew Y. Ng, Daphne Koller, Andrew L. Maas, 2014, UBIQ.

Fast algorithms for finding randomized strategies in game trees

Bernhard von Stengel, Nimrod Megiddo, Daphne Koller, 1994, STOC '94.

Reasoning at the Right Time Granularity

Suchi Saria, Daphne Koller, Uri Nodelman, 2007, UAI.

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

Daphne Koller, M. Pawan Kumar, D. Koller, 2009, UAI.

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

Suchi Saria, Daphne Koller, Vladimir Jojic, 2011, AISTATS.

Discriminative Learning with Latent Variables for Cluttered Indoor Scene Understanding

Stephen Gould, Daphne Koller, Huayan Wang, 2010, ECCV.

Learning Object Shape: From Drawings to Images

Daphne Koller, Gal Elidan, Geremy Heitz, 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

SPOOK: A system for probabilistic object-oriented knowledge representation

Avi Pfeffer, Daphne Koller, Ken T. Takusagawa, 1999, UAI.

Applying Sentence Simplification to the CoNLL-2008 Shared Task

Daphne Koller, David Vickrey, 2008, CoNLL.

Qualitative Planning under Assumptions: A Preliminary Report

Nir Friedman, Daphne Koller, 1994 .

Probabilistic Models for Relational Data

David Heckerman, Christopher Meek, Daphne Koller, 2004 .

Constructing small sample spaces satisfying given constraints

Nimrod Megiddo, Daphne Koller, D. Koller, 1993, SIAM J. Discret. Math..

Learning Probabilities for Noisy First-Order Rules

Avi Pfeffer, Daphne Koller, D. Koller, 1997, IJCAI.

Fault-Tolerant Critical Section Management in Asynchronous Environments

Danny Dolev, David Peleg, Amotz Bar-Noy, 1991, Inf. Comput..

Active Classification based on Value of Classifier

Daphne Koller, Tianshi Gao, D. Koller, 2011, NIPS.

Structured Probabilistic Models: Bayesian Networks and Beyond

Daphne Koller, 1998, AAAI/IAAI.

FastSLAM: a factored solution to the simultaneous localization and mapping problem

Sebastian Thrun, Michael Montemerlo, Daphne Koller, 2002, AAAI/IAAI.

Discriminative Learning with Latent Variables for Cluttered Indoor Scene Understanding

Stephen Gould, Daphne Koller, Huayan Wang, 2010, ECCV.

Max-Margin Min-Entropy Models

Kevin Miller, Daphne Koller, Benjamin Packer, 2012, AISTATS.

Modeling Instance Appearance for Recognition - Can We Do Better Than EM?

Andrew Chou, Michael Stark, Daphne Koller, 2013 .

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

Sebastian Thrun, Dragomir Anguelov, Daphne Koller, 2002, UAI.

Multi-agent algorithms for solving graphical games

Daphne Koller, David Vickrey, D. Koller, 2002, AAAI/IAAI.

Local Learning in Probabilistic Networks with Hidden Variables

Stuart J. Russell, Daphne Koller, Keiji Kanazawa, 1995, IJCAI.

Adaptive Probabilistic Networks

Stuart J. Russell, Daphne Koller, Stuart Russell, 1994 .

Detecting and modeling doors with mobile robots

Sebastian Thrun, Dragomir Anguelov, Daphne Koller, 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.

Efficient Solution Algorithms for Factored MDPs

Shobha Venkataraman, Carlos Guestrin, Daphne Koller, 2003, J. Artif. Intell. Res..

Exact Inference in Networks with Discrete Children of Continuous Parents

Uri Lerner, Daphne Koller, Eran Segal, 2001, UAI.

Constrained Approximate Maximum Entropy Learning of Markov Random Fields pdf

Daphne Koller, David Vickrey, John C. Duchi, 2008, UAI.

Random worlds and maximum entropy

Joseph Y. Halpern, Daphne Koller, Adam J. Grove, 1992, [1992] Proceedings of the Seventh Annual IEEE Symposium on Logic in Computer Science.

Adaptive Probabilistic Networks with Hidden Variables

Stuart J. Russell, Daphne Koller, Keiji Kanazawa, 1997, Machine Learning.

Sentence Simplification for Semantic Role Labeling

Daphne Koller, David Vickrey, D. Koller, 2008, ACL.

Discriminative Probabilistic Models for Relational Data pdf

Ben Taskar, Pieter Abbeel, Daphne Koller, 2002, UAI.

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

Daphne Koller, John S. Breese, 2001, UAI.

Efficient Structure Learning of Markov Networks using L1-Regularization

Daphne Koller, Su-In Lee, Varun Ganapathi, 2006, NIPS.

Multiclass Boosting with Hinge Loss based on Output Coding

Daphne Koller, Tianshi Gao, D. Koller, 2011, ICML.

MOOCS: What Have We Learned?

Daphne Koller, 2015, KDD.

Statistical learning from relational data

Daphne Koller, 2003, KDD '03.

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

Daphne Koller, Christian R. Shelton, Uri Nodelman, 2005, UAI.

Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence

Daphne Koller, Jack Breese, J. Breese, 2001 .

Max-margin classification of incomplete data

Pieter Abbeel, Gal Chechik, Daphne Koller, 2006, NIPS.

Using Probabilistic Information in Data Integration

Alon Y. Halevy, Daniela Florescu, Daphne Koller, 1997, VLDB.

Decomposing a scene into geometric and semantically consistent regions

Stephen Gould, Daphne Koller, Richard Fulton, 2009, 2009 IEEE 12th International Conference on Computer Vision.

Efficient inference in Bayesian networks

Daphne Koller, Alexander V. Kozlov, 1998 .

Rich probabilistic models for gene expression

Ben Taskar, Nir Friedman, Daphne Koller, 2001, ISMB.

Region-based Segmentation and Object Detection

Stephen Gould, Daphne Koller, Tianshi Gao, 2009, NIPS.

Nonuniform Dynamic Discretization in Hybrid Networks

Daphne Koller, Alexander V. Kozlov, D. Koller, 1997, UAI.

Using Learning for Approximation in Stochastic Processes

Daphne Koller, Raya Fratkina, D. Koller, 1998, ICML.

Asymptotic Conditional Probabilities: The Unary Case

Joseph Y. Halpern, Daphne Koller, Adam J. Grove, 1996, SIAM J. Comput..

Discovering Deformable Motifs in Continuous Time Series Data

Suchi Saria, Daphne Koller, Andrew Duchi, 2011, IJCAI.

Exploiting the Architecture of Dynamic Systems

Xavier Boyen, Daphne Koller, D. Koller, 1999, AAAI/IAAI.

Discovering the Hidden Structure of Complex Dynamic Systems

Xavier Boyen, Nir Friedman, Daphne Koller, 1999, UAI.

Learning associative Markov networks

Ben Taskar, Daphne Koller, Vassil Chatalbashev, 2004, ICML.

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

Daphne Koller, Su-In Lee, David Vickrey, 2007, ICML '07.

Integrating Visual and Range Data for Robotic Object Detection

Andrew Y. Ng, Morgan Quigley, Stephen Gould, 2008, ECCV 2008.

Continuous Time Bayesian Networks

Daphne Koller, Christian R. Shelton, Uri Nodelman, 2012, UAI.

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

Sabine Glesner, Daphne Koller, D. Koller, 1995, ECSQARU.

Forming Beliefs about a Changing World

Joseph Y. Halpern, Fahiem Bacchus, Daphne Koller, 1994, AAAI.

Constructing informative priors using transfer learning

Rajat Raina, Andrew Y. Ng, Daphne Koller, 2006, ICML.

Discriminative learning of Markov random fields for segmentation of 3D scan data

Ben Taskar, Dragomir Anguelov, Andrew Y. Ng, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

SCAPE: shape completion and animation of people

Sebastian Thrun, Dragomir Anguelov, Praveen Srinivasan, 2005, SIGGRAPH '05.

Representations and Solutions for Game-Theoretic Problems

Avi Pfeffer, Daphne Koller, D. Koller, 1997, Artif. Intell..

A Continuation Method for Nash Equilibria in Structured Games

Daphne Koller, Christian R. Shelton, Ben Blum, 2003, IJCAI.

Learning specific-class segmentation from diverse data

Daphne Koller, M. Pawan Kumar, Haithem Turki, 2011, 2011 International Conference on Computer Vision.

Modeling how students learn to program

Paulo Blikstein, Daphne Koller, Steve Cooper, 2012, SIGCSE '12.

Single image depth estimation from predicted semantic labels

Stephen Gould, Daphne Koller, Beyang Liu, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Tractable Inference for Complex Stochastic Processes pdf

Xavier Boyen, Daphne Koller, D. Koller, 1998, UAI.

Max-margin Classification of Data with Absent Features

Pieter Abbeel, Gal Chechik, Daphne Koller, 2008, J. Mach. Learn. Res..

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

Daphne Koller, Alexis Battle, Sara Mostafavi, 2014, PLoS Comput. Biol..

Probabilistic hierarchical clustering for biological data

Daphne Koller, Eran Segal, D. Koller, 2002, RECOMB '02.

Irrelevance and Conditioning in First-Order Probabilistic Logic

Joseph Y. Halpern, Daphne Koller, D. Koller, 1996, AAAI/IAAI, Vol. 1.

Genovo: De Novo Assembly for Metagenomes

Daphne Koller, Vladimir Jojic, Jonathan Laserson, 2010, RECOMB.

Sensors & Symbols: An Integrated Framework

Daphne Koller, 1999 .

Max-Margin Markov Networks

Ben Taskar, Carlos Guestrin, Daphne Koller, 2003, NIPS.

Learning Probabilistic Models of Link Structure

Ben Taskar, Lise Getoor, Nir Friedman, 2003, J. Mach. Learn. Res..

Random Worlds and Maximum Entropy

Joseph Y. Halpern, Daphne Koller, Adam J. Grove, 1994, J. Artif. Intell. Res..

Learning structured prediction models: a large margin approach

Ben Taskar, Carlos Guestrin, Daphne Koller, 2005, ICML.

Understanding tuberculosis epidemiology using structured statistical models

Lise Getoor, Daphne Koller, Peter Small, 2004, Artif. Intell. Medicine.

Max-norm Projections for Factored MDPs

Carlos Guestrin, Daphne Koller, Ronald Parr, 2001, IJCAI.

Peer and self assessment in massive online classes

Justin Cheng, Scott R. Klemmer, Chinmay Kulkarni, 2013, ACM Trans. Comput. Hum. Interact..

From Statistical Knowledge Bases to Degrees of Belief

Joseph Y. Halpern, Fahiem Bacchus, Daphne Koller, 1996, Artif. Intell..

Learning Bayesian Networks from Data

Nir Friedman, Daphne Koller, D. Koller, 2001 .

Probability Estimation in Face of Irrelevant Information pdf

Daphne Koller, Adam J. Grove, D. Koller, 1991, UAI.

Self-Paced Learning for Latent Variable Models

Daphne Koller, Benjamin Packer, M. Pawan Kumar, 2010, NIPS.

Making Rational Decisions Using Adaptive Utility Elicitation

Daphne Koller, Ronald Parr, Urszula Chajewska, 2000, AAAI/IAAI.

Generalizing plans to new environments in relational MDPs

Carlos Guestrin, Daphne Koller, Chris Gearhart, 2003, IJCAI 2003.

Modeling Latent Variable Uncertainty for Loss-based Learning pdf

Daphne Koller, Benjamin Packer, M. Pawan Kumar, 2012, ICML.

Asymptotic conditional probabilities: The non-unary case

Joseph Y. Halpern, Daphne Koller, Adam J. Grove, 1996, Journal of Symbolic Logic.

Statistical Foundations for Default Reasoning

Joseph Y. Halpern, Fahiem Bacchus, Daphne Koller, 1993, IJCAI.

Generating New Beliefs from Old pdf

Joseph Y. Halpern, Fahiem Bacchus, Daphne Koller, 1994, UAI.

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

Daphne Koller, Marc Teyssier, D. Koller, 2005, UAI.

Max-Margin Parsing

Ben Taskar, Dan Klein, Christopher D. Manning, 2004, EMNLP.

Toward Optimal Feature Selection

Daphne Koller, Mehran Sahami, D. Koller, 1996, ICML.

Multi-Agent Planning in Complex Uncertain Environments

Daphne Koller, 2004, AAMAS.

Probabilistic Frame-Based Systems

Avi Pfeffer, Daphne Koller, D. Koller, 1998, AAAI/IAAI.

Cascaded Classification Models: Combining Models for Holistic Scene Understanding

Ashutosh Saxena, Stephen Gould, Daphne Koller, 2008, NIPS.

Learning Spatial Context: Using Stuff to Find Things

Daphne Koller, Geremy Heitz, D. Koller, 2008, ECCV.

A segmentation-aware object detection model with occlusion handling

Daphne Koller, Benjamin Packer, Tianshi Gao, 2011, CVPR 2011.

Utilities as Random Variables: Density Estimation and Structure Discovery pdf

Daphne Koller, Urszula Chajewska, D. Koller, 2000, UAI.

Probabilistic Relational Models

Daphne Koller, D. Koller, 1999, ILP.

A Unified Contour-Pixel Model for Figure-Ground Segmentation

Stephen Gould, Daphne Koller, Benjamin Packer, 2010, ECCV.

FastSLAM: An Efficient Solution to the Simultaneous Localization And Mapping Problem with Unknown Data

Sebastian Thrun, Michael Montemerlo, Eduardo Nebot, 2004 .

Reinforcement Learning Using Approximate Belief States

Daphne Koller, Ronald Parr, Andres C. Rodriguez, 1999, NIPS.

Probabilistic Abstraction Hierarchies

Daphne Koller, Eran Segal, Dirk Ormoneit, 2001, NIPS.

Alphabet SOUP: A framework for approximate energy minimization

Stephen Gould, Daphne Koller, Fernando Amat, 2009, CVPR.

Temporal and Cross-Subject Probabilistic Models for fMRI Prediction Tasks

Gal Chechik, Daphne Koller, Alexis Battle, 2006, NIPS.

First-order conditional logic for default reasoning revisited

Joseph Y. Halpern, Nir Friedman, Daphne Koller, 2000, TOCL.

Effective Bayesian Inference for Stochastic Programs

David A. McAllester, Avi Pfeffer, Daphne Koller, 1997, AAAI/IAAI.

Probabilistic Graphical Models: Principles and Techniques - Adaptive Computation and Machine Learning

Nir Friedman, Daphne Koller, D. Koller, 2009 .

Convex Point Estimation using Undirected Bayesian Transfer Hierarchies

Daphne Koller, Benjamin Packer, Gal Elidan, 2008, UAI.

(De)randomized construction of small sample spaces in /spl Nscr//spl Cscr/

David R. Karger, Daphne Koller, 1994, Proceedings 35th Annual Symposium on Foundations of Computer Science.

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

Jure Leskovec, Nicholas Eriksson, Daphne Koller, 2018, ArXiv.

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

Daphne Koller, Huayan Wang, 2011, CVPR 2011.

Discovering Hidden Variables: A Structure-Based Approach

Nir Friedman, Daphne Koller, Gal Elidan, 2000, NIPS.

Parameter Estimation and Energy Minimization for Region-Based Semantic Segmentation

Daphne Koller, M. Pawan Kumar, Haithem Turki, 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Constructing Small Sample Spaces Satisfying Given Constraints

Nimrod Megiddo, Daphne Koller, 1994, SIAM J. Discret. Math..

Sampling in Factored Dynamic Systems

Daphne Koller, Uri Lerner, D. Koller, 2001, Sequential Monte Carlo Methods in Practice.

Using Combinatorial Optimization within Max-Product Belief Propagation

Daniel Tarlow, Daphne Koller, Gal Elidan, 2006, NIPS.

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

Sebastian Thrun, Christian Plagemann, Daphne Koller, 2010, 2010 IEEE International Conference on Robotics and Automation.

Policy Search via Density Estimation

Andrew Y. Ng, Daphne Koller, Ronald Parr, 1999, NIPS.

Finding the hidden path: time bounds for all-pairs shortest paths

David R. Karger, Steven J. Phillips, Daphne Koller, 1991, [1991] Proceedings 32nd Annual Symposium of Foundations of Computer Science.

A RESPONSE TO “BELIEVING ON THE BASIS OF THE EVIDENCE”

Joseph Y. Halpern, Fahiem Bacchus, Daphne Koller, 1994, Comput. Intell..

LOOPS: Localizing Object Outlines using Probabilistic Shape

Daphne Koller, D. Koller, 2008, NIPS 2008.

Knowledge Representation for an Uncertain World.

Daphne Koller, 1997 .

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

Nir Friedman, Daphne Koller, D. Koller, 2004, Machine Learning.

Asymptomatic conditional probabilities for first-order logic

Joseph Y. Halpern, Daphne Koller, Adam J. Grove, 1992, STOC '92.

Hierarchically Classifying Documents Using Very Few Words

Daphne Koller, Mehran Sahami, D. Koller, 1997, ICML.

First-Order Conditional Logic Revisited

Joseph Y. Halpern, Nir Friedman, Daphne Koller, 1996, AAAI/IAAI, Vol. 2.

Learning Probabilistic Models of Relational Structure

Ben Taskar, Lise Getoor, Nir Friedman, 2001, ICML.

Multi-Class Segmentation with Relative Location Prior

Stephen Gould, Daphne Koller, Gal Elidan, 2008, International Journal of Computer Vision.

Learning Factor Graphs in Polynomial Time and Sample Complexity

Pieter Abbeel, Andrew Y. Ng, Daphne Koller, 2006, J. Mach. Learn. Res..

Probabilistic Entity-Relationship Models, PRMs, and Plate Models

David Heckerman, Christopher Meek, Daphne Koller, 2004 .

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

Haidong Wang, Daphne Koller, Eran Segal, 2004, NIPS.

Crowd-scale interactive formal reasoning and analytics

Michael S. Bernstein, Alexander Aiken, Daphne Koller, 2013, UIST.

Context-specific multiagent coordination and planning with factored MDPs

Shobha Venkataraman, Carlos Guestrin, Daphne Koller, 2002, AAAI/IAAI.

Efficiently selecting regions for scene understanding

Daphne Koller, M. Pawan Kumar, D. Koller, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Generating and Solving Imperfect Information Games

Avi Pfeffer, Daphne Koller, D. Koller, 1995, IJCAI.

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

Sheila A. McIlraith, Uri Lerner, Daphne Koller, 2002, UAI.

Projected Subgradient Methods for Learning Sparse Gaussians

Stephen Gould, Daphne Koller, John C. Duchi, 2008, UAI.

Link Prediction in Relational Data

Ben Taskar, Pieter Abbeel, Daphne Koller, 2003, NIPS.

A Ga,me-Theoretic Classification of Interactive Complexity Classes (Est ended Abstract )

Joan Feigenbaum, Daphne Koller, Peter W. Shor, 1995 .

Learning Probabilistic Relational Models with Structural Uncertainty

Lise Getoor, Nir Friedman, Daphne Koller, 2000 .

Probabilistic Models for Agent's Beliefs and Decisions

Daphne Koller, Brian Milch, D. Koller, 2000, UAI.

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

David R. Karger, Steven J. Phillips, Daphne Koller, 1993, SIAM J. Comput..

Decomposing Gene Expression into Cellular Processes

Daphne Koller, Alexis Battle, Eran Segal, 2002, Pacific Symposium on Biocomputing.

Computing Factored Value Functions for Policies in Structured MDPs

Daphne Koller, Ronald Parr, Ronald E. Parr, 1999, IJCAI.

Probabilistic discovery of overlapping cellular processes and their regulation

Daphne Koller, Alexis Battle, Eran Segal, 2004, J. Comput. Biol..

Selectivity estimation using probabilistic models

Ben Taskar, Lise Getoor, Daphne Koller, 2001, SIGMOD '01.

SCAPE: shape completion and animation of people

Sebastian Thrun, Dragomir Anguelov, Praveen Srinivasan, 2005, SIGGRAPH 2005.

3D segmentation of cell boundaries from whole cell cryogenic electron tomography volumes.

Mark Horowitz, Daphne Koller, Farshid Moussavi, 2010, Journal of structural biology.

Bayesian Fault Detection and Diagnosis in Dynamic Systems

Gautam Biswas, Uri Lerner, Daphne Koller, 2000, AAAI/IAAI.

P-CLASSIC: A Tractable Probablistic Description Logic

Alon Y. Halevy, Avi Pfeffer, Daphne Koller, 1997, AAAI/IAAI.

From Statistics to Beliefs

Joseph Y. Halpern, Fahiem Bacchus, Daphne Koller, 1992, AAAI.

From Instances to Classes in Probabilistic Relational Models

Lise Getoor, Nir Friedman, Daphne Koller, 2000, ICML 2000.

Multiagent Planning with Factored MDPs

Carlos Guestrin, Daphne Koller, Ronald Parr, 2001, NIPS.

Alphabet SOUP: A framework for approximate energy minimization

Stephen Gould, Daphne Koller, Fernando Amat, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

Learning on the Test Data: Leveraging Unseen Features

Ben Taskar, Daphne Koller, Ming Fai Wong, 2003, ICML.

Generating Degrees of Belief from Statistical Information: An Overview

Joseph Y. Halpern, Fahiem Bacchus, Daphne Koller, 1993, FSTTCS.

Causal signals between codon bias, mRNA structure, and the efficiency of translation and elongation

Daphne Koller, Nicholas T Ingolia, Nicholas T. Ingolia, 2014, Molecular systems biology.

From knowledge to belief

Daphne Koller, 1994 .

Ignorable Information in Multi-Agent Scenarios

Daphne Koller, Brian Milch, 2008 .

A Protein Domain-Based Interactome Network for C. elegans Early Embryogenesis

Lilia M. Iakoucheva, Richard Bonneau, Kahn Rhrissorrakrai, 2008, Cell.

Learning the Structure of Utility Functions

Daphne Koller, Urszula Chajewska, D. Koller, 1999 .

A pluripotency signature predicts histologic transformation and influences survival in follicular lymphoma patients.

Babak Shahbaba, Catherine M Shachaf, Ash A. Alizadeh, 2009, Blood.

Timing properties of gene expression responses to environmental changes

Gal Chechik, Daphne Koller, D. Koller, 2009 .

Normalizing RNA-Sequencing Data by Modeling Hidden Covariates with Prior Knowledge

Daphne Koller, Alexis Battle, Stephen B. Montgomery, 2013, PloS one.

Type I interferon signaling genes in recurrent major depression: increased expression detected by whole-blood RNA sequencing

Rui Mei, Jianxin Shi, Daphne Koller, 2013, Molecular Psychiatry.

Deciphering the transcriptional network of the dendritic cell lineage - eScholarship

David H. Laidlaw, Daphne Koller, Aviv Regev, 2012 .

Convergent antibody signatures in human dengue.

Scott D Boyd, Daphne Koller, Nader Pourmand, 2013, Cell host & microbe.

Polarization of the Effects of Autoimmune and Neurodegenerative Risk Alleles in Leukocytes

Daphne Koller, Aviv Regev, Nir Hacohen, 2014, Science.

Synchronized age-related gene expression changes across multiple tissues in human and the link to complex diseases

Andrew B. Nobel, Fred A. Wright, Ivan Rusyn, 2015, Scientific Reports.

The Effects of Somatic Hypermutation on Neutralization and Binding in the PGT121 Family of Broadly Neutralizing HIV Antibodies

Daphne Koller, George M. Church, Jonathan Laserson, 2013, PLoS pathogens.

Structured models for multi-agent interactions

Daphne Koller, Brian Milch, D. Koller, 2001 .

Systematic analysis of genome-wide fitness data in yeast reveals novel gene function and drug action

Daphne Koller, Corey Nislow, Elke Ericson, 2010, Genome Biology.

A Complex-based Reconstruction of the Saccharomyces cerevisiae Interactome *S⃞

Daphne Koller, Nevan J. Krogan, Kevan M. Shokat, 2009, Molecular & Cellular Proteomics.

Rich probabilistic models for genomic data

Daphne Koller, Eran Segal, D. Koller, 2004 .

Identification of transcriptional regulators in the mouse immune system

Or Zuk, Daphne Koller, Aviv Regev, 2013, Nature Immunology.