D. Koller

发表

Adaptive Probabilistic Networks

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

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

Sebastian Thrun, Michael Montemerlo, Eduardo Nebot, 2004 .

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

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

Statistical Foundations for Default Reasoning

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

The complexity of two-person zero-sum games in extensive form

D. Koller, N. Megiddo, 1992 .

SLAM Updates Require Constant Time

Hugh Durrant-Whyte, Sebastian Thrun, Daphne Koller, 2002 .

Region-based Segmentation and Object Detection

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

Learning Factor Graphs in Polynomial Time & Sample Complexity

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

A segmentation-aware object detection model with occlusion handling

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

Efficient Computation of Equilibria for Extensive Two-Person Games

D. Koller, N. Megiddo, B. Stengel, 1996 .

Cascaded Classification Models: Combining Models for Holistic Scene Understanding

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

Probabilistic Graphical Models - Principles and Techniques

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

Solving Factored POMDPs with Linear Value Functions

Ronald E. Parr, D. Koller, Carlos Guestrin, 2001 .

Decomposing a scene into geometric and semantically consistent regions

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

Tractable Inference for Complex Stochastic Processes pdf

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

Context-Specific Independence in Bayesian Networks pdf

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

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).

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

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

Continuous Time Bayesian Networks

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

Max-Margin Markov Networks

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

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

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

SCAPE: shape completion and animation of people

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

Learning Spatial Context: Using Stuff to Find Things

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

Max-norm Projections for Factored MDPs

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

Efficient Reinforcement Learning in Factored MDPs

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

Stochastic simulation algorithms for dynamic probabilistic networks

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

Planning under uncertainty in complex structured environments

D. Koller, Carlos Guestrin, 2003 .

Policy Iteration for Factored MDPs

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

Module networks: identifying regulatory modules and their condition-specific regulators from gene expression data

D. Pe’er, D. Koller, N. Friedman, 2003, Nature Genetics.

Computing Factored Value Functions for Policies in Structured MDPs

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

Achievable cases in an asynchronous environment

Hagit Attiya, Danny Dolev, David Peleg, 1987, 28th Annual Symposium on Foundations of Computer Science (sfcs 1987).

Abstract

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

Self-Paced Learning for Latent Variable Models

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

The online revolution: education for everyone

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

Tuned Models of Peer Assessment in MOOCs

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

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.

Generalizing plans to new environments in relational MDPs

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

Reinforcement Learning Using Approximate Belief States

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

Learning structured prediction models: a large margin approach

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

Adaptive Probabilistic Networks with Hidden Variables

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

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.

Local Learning in Probabilistic Networks with Hidden Variables

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

The Genotype-Tissue Expression (GTEx) project

Ellen T. Gelfand, Bryan M. Gillard, Karna L. Robinson, 2013, Nature Genetics.

Support Vector Machine Active Learning with Applications to Text Classification

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

Finding mixed strategies with small supports in extensive form games

D. Koller, N. Megiddo, 1996 .

Multiagent Planning with Factored MDPs

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

Discriminative learning of relaxed hierarchy for large-scale visual recognition

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

Multi-Class Segmentation with Relative Location Prior

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

Probabilistic Models for Relational Data

David Heckerman, Christopher Meek, Daphne Koller, 2004 .

Probabilistic Abstraction Hierarchies

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

Probabilistic Classification and Clustering in Relational Data

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

Residual Belief Propagation: Informed Scheduling for Asynchronous Message Passing pdf

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

Using Learning for Approximation in Stochastic Processes

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

Max-Margin Min-Entropy Models

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

Conserved Genetic Modules 5 / 29 / 2003 1 A gene co-expression network for global discovery of conserved genetic modules in H . sapiens , D . melanogaster , C . elegans , and S . cerevisiae

Joshua M. Stuart, D. Koller, Stuart K. Kim, 2003 .

A Gene-Coexpression Network for Global Discovery of Conserved Genetic Modules

Joshua M. Stuart, D. Koller, Stuart K. Kim, 2003, Science.

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).

Generating and Solving Imperfect Information Games

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

Probabilistic Models of Text and Link Structure for Hypertext Classification

Ben Taskar, Lise Getoor, Daphne Koller, 2001 .

Population genomics of human gene expression

D. Koller, P. Deloukas, S. Tavaré, 2007, Nature Genetics.

Max-Margin Parsing

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

Discriminative Probabilistic Models for Relational Data pdf

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

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.

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

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

GeneXPress : A Visualization and Statistical Analysis Tool for Gene Expression and Sequence Data

D. Koller, N. Friedman, A. Regev, .

Towards robust automatic traffic scene analysis in real-time

D. Koller, S. Russell, J. Weber, 1994, Proceedings of 1994 33rd IEEE Conference on Decision and Control.

SCAPE: shape completion and animation of people

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

A module map showing conditional activity of expression modules in cancer

D. Koller, N. Friedman, A. Regev, 2004, Nature Genetics.

Integration of Early Physiological Responses Predicts Later Illness Severity in Preterm Infants

D. Koller, S. Saria, A. Rajani, 2010, Science Translational Medicine.

The Genotype-Tissue Expression (GTEx) pilot analysis: Multitissue gene regulation in humans

Jun S. Liu, Ellen T. Gelfand, Ayellet V. Segrè, 2015, Science.

Learning a Prior on Regulatory Potential from eQTL Data

David A. Drubin, D. Pe’er, D. Koller, 2009, PLoS genetics.

Characterizing the genetic basis of transcriptome diversity through RNA-sequencing of 922 individuals

D. Koller, J. Potash, R. Mei, 2013, Genome research.

The Chemical Genomic Portrait of Yeast: Uncovering a Phenotype for All Genes

Robert P. St.Onge, Ronald W. Davis, D. Koller, 2008, Science.

Hierarchically Classifying Documents Using Very Few Words

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

Toward Optimal Feature Selection

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

Shape-Based Object Localization for Descriptive Classification

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

Recovering Articulated Object Models from 3D Range Data pdf

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

Constructing informative priors using transfer learning

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

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

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

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

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

Update Rules for Parameter Estimation in Bayesian Networks

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

Bayesian Fault Detection and Diagnosis in Dynamic Systems

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

Simultaneous Localization and Mapping with Sparse Extended Information Filters

Hugh F. Durrant-Whyte, Zoubin Ghahramani, Andrew Y. Ng, 2004, Int. J. Robotics Res..

Max-margin Classification of Data with Absent Features

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

Multiclass Boosting with Hinge Loss based on Output Coding

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

Combining the Right Features for Complex Event Recognition

Fei-Fei Li, Bangpeng Yao, Daphne Koller, 2013, 2013 IEEE International Conference on Computer Vision.

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

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

Constrained Approximate Maximum Entropy Learning of Markov Random Fields pdf

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

Restricted Bayes Optimal Classifiers

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

A probabilistic model for component-based shape synthesis

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

Being Bayesian about Network Structure

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

Shifting Weights: Adapting Object Detectors from Image to Video

Fei-Fei Li, Vignesh Ramanathan, Daphne Koller, 2012, NIPS.

Identifying regulatory mechanisms using individual variation reveals key role for chromatin modification

D. Pe’er, D. Koller, G. Church, 2006, Proceedings of the National Academy of Sciences.

An integrated stereo-based approach to automatic vehicle guidance

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

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

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

Active Learning for Parameter Estimation in Bayesian Networks

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

Efficient Structure Learning of Markov Networks using L1-Regularization

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

Expectation Propagation for Continuous Time Bayesian Networks

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

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

Hugh F. Durrant-Whyte, Zoubin Ghahramani, Andrew Y. Ng, 2004, WAFR.

Learning Probabilistic Models of Relational Structure

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

Projected Subgradient Methods for Learning Sparse Gaussians

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

Multi-agent algorithms for solving graphical games

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

Inferring Multidimensional Rates of Aging from Cross-Sectional Data

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

5 Probabilistic Relational Models

Lise Getoor, Avi Pfeffer, Nir Friedman, 2008 .

Multi-Agent Influence Diagrams for Representing and Solving Games

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

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

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

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.

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.

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).

Learning Continuous Time Bayesian Networks pdf

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

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.

Fast algorithms for finding randomized strategies in game trees

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

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

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

Rich probabilistic models for gene expression

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

The Immunological Genome Project: networks of gene expression in immune cells

D. Koller, D. Laidlaw, R. Jianu, 2008, Nature Immunology.

Semantics and Inference for Recursive Probability Models

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

Representations and Solutions for Game-Theoretic Problems

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

Probabilistic Frame-Based Systems

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

Guaranteed Inference for Global State Estimation in Human Environments

S. Thrun, D. Koller, O. Khatib, 2010 .

Context-specific multiagent coordination and planning with factored MDPs

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

(De)randomized Construction of Small Sample Spaces in NC

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

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

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

Object-Oriented Bayesian Networks

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

Active learning: theory and applications

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

Probabilistic Discovery of Overlapping Cellular Processes and Their Regulation

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

Continuous Time Markov Networks pdf

Nir Friedman, Daphne Koller, Raz Kupferman, 2006, UAI.

Nonuniform Dynamic Discretization in Hybrid Networks

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

Making Rational Decisions Using Adaptive Utility Elicitation

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

2 Graphical Models in a Nutshell

D. Koller, N. Friedman, L. Getoor, 2008 .

Active Learning for Structure in Bayesian Networks

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

Learning associative Markov networks

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

Selectivity estimation using probabilistic models

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

Accelerated dual decomposition for MAP inference

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

The Online Revolution: Education at Scale

Andrew Y. Ng, Daphne Koller, A. Ng, 2012 .

Effective Bayesian Inference for Stochastic Programs

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

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

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

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

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

Discovering shared and individual latent structure in multiple time series pdf

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

Acting rationally with incomplete utility information

D. Koller, Urszula Chajewska, 2002 .

Learning models of shape from three-dimensional range data

Dragomir Anguelov, D. Koller, 2006 .

InSite: a computational method for identifying protein-protein interaction binding sites on a proteome-wide scale

D. Koller, E. Segal, M. Vidal, 2007, Genome Biology.

Discovering molecular pathways from protein interaction and gene expression data

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

Probabilistic Graphical Models

Nir Friedman, Daphne Koller, D. Koller, 2009, Data-Driven Computational Neuroscience.

Module Networks : Discovering Regulatory Modules and their Condition Specific Regulators from Gene Expression Data

D. Pe’er, D. Koller, N. Friedman, 2003 .

Label and Link Prediction in Relational Data

P. Abbeel, D. Koller, B. Taskar, 2003 .

First-Order Conditional Logic Revisited

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

Learning Bayesian Networks from Data

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

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

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

Human responses to influenza vaccination show seroconversion signatures and convergent antibody rearrangements.

Mark M. Davis, D. Koller, K. Roskin, 2014, Cell host & microbe.

Probabilistic hierarchical clustering for biological data

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

Random Worlds and Maximum Entropy

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

Online Word Games for Semantic Data Collection

David Vickrey, Aman Kumar, William Choi, 2008, EMNLP.

Alphabet SOUP: A framework for approximate energy minimization

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

Learning a Small Mixture of Trees

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

Sfp1 is a stress- and nutrient-sensitive regulator of ribosomal protein gene expression.

D. Koller, N. Friedman, A. Regev, 2004, Proceedings of the National Academy of Sciences of the United States of America.

Learning on the Test Data: Leveraging Unseen Features

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

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.

Using Probabilistic Information in Data Integration

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

Word-Sense Disambiguation for Machine Translation

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

Forming Beliefs about a Changing World

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

Functional Organization of the S. cerevisiae Phosphorylation Network

Sean R. Collins, P. Kemmeren, S. Wageningen, 2009, Cell.

Learning an Agent's Utility Function by Observing Behavior

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

Asymptomatic conditional probabilities for first-order logic

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

6 Relational Markov Networks

P. Abbeel, D. Koller, B. Taskar, 2007 .

SCAPE: shape completion and animation of people

Dragomir Anguelov, S. Thrun, D. Koller, 2005, ACM Trans. Graph..

From signatures to models: understanding cancer using microarrays

D. Koller, N. Friedman, A. Regev, 2005, Nature Genetics.

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

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

Rich probabilistic models for genomic data

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

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.

Identification of transcriptional regulators in the mouse immune system

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

Conservation and divergence in the transcriptional programs of the human and mouse immune systems

D. Koller, A. Regev, V. Jojic, 2013, Proceedings of the National Academy of Sciences.

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

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

Imputing gene expression from optimally reduced probe sets

D. Koller, C. Benoist, Yoni Donner, 2012, Nature Methods.

High-resolution antibody dynamics of vaccine-induced immune responses

D. Koller, Jehyuk Lee, G. Church, 2014, Proceedings of the National Academy of Sciences.

Automated identification of pathways from quantitative genetic interaction data

D. Koller, J. Weissman, A. Battle, 2010, Molecular systems biology.

Support Vector Machine Active Learning with Application sto Text Classification

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

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.

Max-margin classification of incomplete data

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

Convergent antibody signatures in human dengue.

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

Effects of Aging, Cytomegalovirus Infection, and EBV Infection on Human B Cell Repertoires

Mark M. Davis, D. Koller, K. Roskin, 2014, The Journal of Immunology.

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

Ellen T. Gelfand, Ayellet V. Segrè, Casandra A. Trowbridge, 2016, 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.

Sharing and specificity of co-expression networks across 35 human tissues

D. Koller, E. Pierson, S. Mostafavi, 2014 .

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

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

A GRAPH REGULARIZATION BASED APPROACH FOR GENE SCORING AND GENE SET SELECTION AS APPLIED TO GLIOBLASTOMA MULTIFORME

D. Koller, 2012 .

Structured models for multi-agent interactions

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

Title: Hierarchically Classifying Documents Using Very Few Words Authors: Hierarchically Classifying Documents Using Very Few Words

D. Koller, M. Sahami, 1998 .

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.

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

Richard Bonneau, D. Koller, L. Iakoucheva, 2012, Cell.

Transfer Learning of Object Classes : From Cartoons to Photographs

D. Koller, G. Heitz, G. Elidan, 1992 .

Towards Dependable Perception : Guaranteed Inference for Global Localization

S. Thrun, D. Koller, O. Khatib, 2010 .

P-CLASSIC: A traCtabk escription logic

Alon Y. Levy, D. Koller, 1999 .

Achievable Cases in an Asynchronous Environment (Extended Abstract)

Hagit Attiya, Danny Dolev, David Peleg, 1987, FOCS 1987.

MMKnots : A max-margin model for RNA secondary structure prediction including pseudoknots

D. Koller, Chuan-Sheng Foo, C. Fannjiang, 2016 .

Population genomics of human gene expression

D. Koller, P. Deloukas, S. Tavaré, 2007, Nature Genetics.

Inbred Mouse Strains Expression in Primary Immunocytes across Variation and Genetic Control of Gene

D. Koller, A. Regev, V. Jojic, 2014 .

RepertoiresEBV Infection on Human B Cell Effects of Aging, Cytomegalovirus Infection,

Mark M. Davis, D. Koller, K. Roskin, 2015 .

Apoptosis and other immune biomarkers predict influenza vaccine responsiveness

Mark M. Davis, D. Koller, S. Shen-Orr, 2013, Molecular Systems Biology.

Transfer learning by constructing informative priors

A. Ng, D. Koller, R. Raina, 2005, ICML 2005.

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

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

Apoptosis and other immune biomarkers predict influenza vaccine responsiveness

Mark M. Davis, D. Koller, S. Shen-Orr, 2014, Molecular Systems Biology.

Exact Inference in Networks with Discrete Children of Continuous Parents

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

NpgRj_Ng_2142 1..8

D. Koller, P. Deloukas, S. Tavaré, 2007 .

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

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

Learning Module Networks

Nir Friedman, Aviv Regev, Eran Segal, 2002, J. Mach. Learn. Res..

Activity motifs reveal principles of timing in transcriptional control of the yeast metabolic network

D. Koller, A. Regev, Gal Chechik, 2008, Nature Biotechnology.

The transcriptional landscape of αβ T cell differentiation

Charles C. Kim, G. Nolan, D. Koller, 2013, Nature Immunology.

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.

From promoter sequence to expression: a probabilistic framework

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

From Statistical Knowledge Bases to Degrees of Belief

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

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.

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

A. G. Amitha Perera, Chin-Hui Lee, Li Fei-Fei, 2011, TRECVID.

of Conserved Genetic Modules A Gene-Coexpression Network for Global Discovery

D. Koller, Stuart K. Kim, E. Segal, 2008 .

Learning latent temporal structure for complex event detection

Fei-Fei Li, Daphne Koller, Kevin D. Tang, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

Using Feature Hierarchies in Bayesian Network Learning

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

Genovo: De Novo Assembly for Metagenomes

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

Apoptosis and other immune biomarkers predict influenza vaccine responsiveness

Mark M. Davis, D. Koller, S. Shen-Orr, 2013, Molecular systems biology.

influences survival in follicular lymphoma patients A pluripotency signature predicts histologic tra

Ash A. Alizadeh, D. Koller, Su-In Lee, 2012 .

Variation and Genetic Control of Gene Expression in Primary Immunocytes across Inbred Mouse Strains

D. Koller, S. Mostafavi, C. Benoist, 2014, The Journal of Immunology.

Timing of Gene Expression Responses to Environmental Changes

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

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

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

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

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

Peptide-Spectra Matching from Weak Supervision

Navdeep Jaitly, Andrew M. Dai, Samuel S. Schoenholz, 2018, 1808.06576.

Timing properties of gene expression responses to environmental changes

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

Link Prediction in Relational Data

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

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.

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

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

Probabilistic discovery of overlapping cellular processes and their regulation

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

Learning specific-class segmentation from diverse data

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

Irrelevance and Conditioning in First-Order Probabilistic Logic

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

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.

Learning the Structure of Utility Functions

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

Exploiting the Architecture of Dynamic Systems

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

A Unified Contour-Pixel Model for Figure-Ground Segmentation

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

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 Statistical Patterns in Relational Data Using Probabilistic Relational Models

Daphne Koller, D. Koller, 2005 .

Representation Dependence in Probabilistic Inference

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

Probability Estimation in Face of Irrelevant Information pdf

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

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.

Utilities as Random Variables: Density Estimation and Structure Discovery pdf

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

Efficient Solution Algorithms for Factored MDPs

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

First-order conditional logic for default reasoning revisited

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

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

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

Transcriptional insights into the CD8[superscript +] T cell response to infection and memory T cell formation

Charles C. Kim, D. Koller, A. Regev, 2013 .

Discriminative learning with latent variables for cluttered indoor scene understanding

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

Fine-Grained Categorization for 3D Scene Understanding

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

Learning Probabilities for Noisy First-Order Rules

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

P-CLASSIC: A Tractable Probablistic Description Logic

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

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

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

Generating New Beliefs from Old pdf

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

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

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

From Statistics to Beliefs

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

Learning Probabilistic Models of Link Structure

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

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

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

Peer and self assessment in massive online classes

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

Correlation of preterm infant illness severity with placental histology.

D. Koller, S. Saria, A. Rajani, 2016, Placenta.

Structured Representation of Complex Stochastic Systems

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

Decomposing Gene Expression into Cellular Processes

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

Understanding tuberculosis epidemiology using structured statistical models

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

Probabilistic Relational Models

Daphne Koller, D. Koller, 1999, ILP.

LOOPS: Localizing Object Outlines using Probabilistic Shape

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

Sentence Simplification for Semantic Role Labeling

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

Asymptotic conditional probabilities: The non-unary case

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

Asymptotic Conditional Probabilities: The Unary Case

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

Generating Degrees of Belief from Statistical Information: An Overview

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

Programming Pluralism: Using Learning Analytics to Detect Patterns in the Learning of Computer Programming

Marcelo Worsley, Paulo Blikstein, Mehran Sahami, 2014, Journal of the Learning Sciences.

Probabilistic Models for Agent's Beliefs and Decisions

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

SPOOK: A system for probabilistic object-oriented knowledge representation

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

Probabilistic Entity-Relationship Models, PRMs, and Plate Models

David Heckerman, Christopher Meek, Daphne Koller, 2004 .

Modeling how students learn to program

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

Real-Time Human Pose Tracking from Range Data

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

Using Combinatorial Optimization within Max-Product Belief Propagation

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

Learning Factor Graphs in Polynomial Time and Sample Complexity

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

Structured representations and intractability

Daphne Koller, D. Koller, 1996, CSUR.

GeneXPress : A Visualization and Statistical Analysis Tool for Gene Expression and Sequence Data

D. Koller, N. Friedman, A. Regev, 2022 .

Constructing small sample spaces satisfying given constraints

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

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

Active Classification based on Value of Classifier

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

Fault-Tolerant Critical Section Management in Asynchronous Environments

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

Fault-Tolerant Critical Section Management in Asynchronous Networks

Danny Dolev, David Peleg, Amotz Bar-Noy, 1989, WDAG.

Programming Pluralism: Using Learning Analytics to Detect Patterns in the Learning of Computer Programming

D. Koller, C. Piech, M. Sahami, 2014, The Journal of the Learning Sciences.

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.

Modeling Latent Variable Uncertainty for Loss-based Learning pdf

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

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.

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

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

A Fast and Exact Energy Minimization Algorithm for Cycle MRFs

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

A Continuation Method for Nash Equilibria in Structured Games

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

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

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

Policy Search via Density Estimation

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

Automatic Symbolic Traffic Scene Analysis Using Belief Networks

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

Conservation and divergence in modules of the transcriptional programs of the human and mouse immune systems

Charles C. Kim, D. Koller, A. Regev, 2018, bioRxiv.

SCAPE: Shape Completion and Animation of People

Dragomir Anguelov, S. Thrun, D. Koller, 2023 .

Optimality, Robustness, and Noise in Metabolic Network Control

D. Koller, Gal Chechik, Mu-Fa Chen, 2007 .

Integrating Visual and Range Data for Robotic Object Detection

A. Ng, M. Quigley, D. Koller, 2008 .

Learning structured prediction models: a large margin approach

D. Koller, Carlos Guestrin, B. Taskar, 2005, ICML.

Conservation and divergence in the transcriptional programs of the human and mouse immune systems

D. Koller, A. Regev, V. Jojic, 2013, Proceedings of the National Academy of Sciences.

From signatures to models: understanding cancer using microarrays

D. Koller, N. Friedman, A. Regev, 2005, Nature Genetics.

Discovering the Hidden Structure of Complex Dynamic Systems

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

Approximate Learning of Dynamic Models

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

Sampling in Factored Dynamic Systems

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

Discovering Hidden Variables: A Structure-Based Approach

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

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

Ronald W. Davis, D. Koller, G. Giaever, 2010, Genome Biology.

Integration of Early Physiological Responses Predicts Later Illness Severity in Preterm Infants

D. Koller, S. Saria, A. Rajani, 2010, Science Translational Medicine.

Genovo: De Novo Assembly for Metagenomes

D. Koller, V. Jojic, Jonathan Laserson, 2010, RECOMB.

Non-Local Contrastive Objectives

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

Probabilistic Graphical Models - Principles and Techniques

D. Koller, N. Friedman, 2009 .

From Statistical Knowledge Bases to Degrees of Belief

Joseph Y. Halpern, Adam J. Grove, D. Koller, 1996, Artif. Intell..

Learning Probabilistic Relational Models with Structural Uncertainty

Lise Getoor, Nir Friedman, Daphne Koller, 2000 .

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

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

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

D. Koller, E. Segal, R. Yelensky, 2003, ISMB.

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

Richard Bonneau, D. Koller, L. Iakoucheva, 2008, Cell.

Using Combinatorial Optimization within Max-Product Belief Propagation

John C. Duchi, D. Koller, Daniel Tarlow, 2006, NIPS.

Mid-level Features Improve Recognition of Interactive Activities

Yong Jae Lee, Trevor Darrell, Kate Saenko, 2012 .

Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence

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

Apoptosis and other immune biomarkers predict influenza vaccine responsiveness

Mark M. Davis, D. Koller, S. Shen-Orr, 2013, Molecular Systems Biology.

A Continuation Method for Nash Equilibria in Structured Games

D. Koller, C. Shelton, Ben Blum, 2003, J. Artif. Intell. Res..