Daphne Koller

According to our database1, Daphne Koller authored at least 256 papers between 1987 and 2018.

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2018
Inferring Multi-Dimensional Rates of Aging from Cross-Sectional Data.
CoRR, 2018

2015
Sharing and Specificity of Co-expression Networks across 35 Human Tissues.
PLoS Computational Biology, 2015

Parameter Estimation and Energy Minimization for Region-Based Semantic Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

MOOCS: What Have We Learned?
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

2014
Offering Verified Credentials in Massive Open Online Courses: MOOCs and technology to advance learning and learning research (Ubiquity symposium).
Ubiquity, 2014

2013
Peer and self assessment in massive online classes.
ACM Trans. Comput.-Hum. Interact., 2013

Probability Estimation in Face of Irrelevant Information
CoRR, 2013

Generating New Beliefs From Old
CoRR, 2013

Stochastic Simulation Algorithms for Dynamic Probabilistic Networks
CoRR, 2013

Context-Specific Independence in Bayesian Networks
CoRR, 2013

Nonuniform Dynamic Discretization in Hybrid Networks
CoRR, 2013

Object-Oriented Bayesian Networks
CoRR, 2013

Update Rules for Parameter Estimation in Bayesian Networks
CoRR, 2013

Tractable Inference for Complex Stochastic Processes
CoRR, 2013

SPOOK: A System for Probabilistic Object-Oriented Knowledge Representation
CoRR, 2013

A General Algorithm for Approximate Inference and its Application to Hybrid Bayes Nets
CoRR, 2013

Discovering the Hidden Structure of Complex Dynamic Systems
CoRR, 2013

Proceedings of the Seventeenth Conference on Uncertainty in Artificial Intelligence (2001)
CoRR, 2013

Probabilistic Models for Agents' Beliefs and Decisions
CoRR, 2013

Policy Iteration for Factored MDPs
CoRR, 2013

Being Bayesian about Network Structure
CoRR, 2013

Utilities as Random Variables: Density Estimation and Structure Discovery
CoRR, 2013

Exact Inference in Networks with Discrete Children of Continuous Parents
CoRR, 2013

Discriminative Probabilistic Models for Relational Data
CoRR, 2013

Continuous Time Bayesian Networks
CoRR, 2013

Monitoring a Complez Physical System using a Hybrid Dynamic Bayes Net
CoRR, 2013

Learning Hierarchical Object Maps Of Non-Stationary Environments with mobile robots
CoRR, 2013

Tuned Models of Peer Assessment in MOOCs.
CoRR, 2013

Discriminative learning with latent variables for cluttered indoor scene understanding.
Commun. ACM, 2013

Crowd-scale interactive formal reasoning and analytics.
Proceedings of the 26th Annual ACM Symposium on User Interface Software and Technology, 2013

The online revolution: education for everyone.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Subproblem-Tree Calibration: A Unified Approach to Max-Product Message Passing.
Proceedings of the 30th International Conference on Machine Learning, 2013

A Fast and Exact Energy Minimization Algorithm for Cycle MRFs.
Proceedings of the 30th International Conference on Machine Learning, 2013

Combining the Right Features for Complex Event Recognition.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Tuned Models of Peer Assessment in MOOCs.
Proceedings of the 6th International Conference on Educational Data Mining, 2013

2012
A probabilistic model for component-based shape synthesis.
ACM Trans. Graph., 2012

Max-Margin Min-Entropy Models.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Learning Module Networks
CoRR, 2012

Learning Continuous Time Bayesian Networks
CoRR, 2012

Recovering Articulated Object Models from 3D Range Data
CoRR, 2012

Ordering-Based Search: A Simple and Effective Algorithm for Learning Bayesian Networks
CoRR, 2012

Expectation Maximization and Complex Duration Distributions for Continuous Time Bayesian Networks
CoRR, 2012

Expectation Propagation for Continuous Time Bayesian Networks
CoRR, 2012

Learning Factor Graphs in Polynomial Time & Sample Complexity
CoRR, 2012

Reasoning at the Right Time Granularity
CoRR, 2012

Modeling Latent Variable Uncertainty for Loss-based Learning
CoRR, 2012

Constrained Approximate Maximum Entropy Learning of Markov Random Fields
CoRR, 2012

Convex Point Estimation using Undirected Bayesian Transfer Hierarchies
CoRR, 2012

Projected Subgradient Methods for Learning Sparse Gaussians
CoRR, 2012

MAP Estimation of Semi-Metric MRFs via Hierarchical Graph Cuts
CoRR, 2012

Residual Belief Propagation: Informed Scheduling for Asynchronous Message Passing.
CoRR, 2012

Continuous Time Markov Networks.
CoRR, 2012

Modeling how students learn to program.
Proceedings of the 43rd ACM technical symposium on Computer science education, 2012

Shifting Weights: Adapting Object Detectors from Image to Video.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Modeling Latent Variable Uncertainty for Loss-based Learning.
Proceedings of the 29th International Conference on Machine Learning, 2012

What Makes a Good Detector? - Structured Priors for Learning from Few Examples.
Proceedings of the Computer Vision - ECCV 2012, 2012

Real-Time Human Pose Tracking from Range Data.
Proceedings of the Computer Vision - ECCV 2012, 2012

Learning latent temporal structure for complex event detection.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

A combined pose, object, and feature model for action understanding.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Fine-Grained Categorization for 3D Scene Understanding.
Proceedings of the British Machine Vision Conference, 2012

2011
Convex envelopes of complexity controlling penalties: the case against premature envelopment.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Genovo: De Novo Assembly for Metagenomes.
Journal of Computational Biology, 2011

A Continuation Method for Nash Equilibria in Structured Games
CoRR, 2011

Efficient Solution Algorithms for Factored MDPs
CoRR, 2011

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

Discovering Deformable Motifs in Continuous Time Series Data.
Proceedings of the IJCAI 2011, 2011

Multiclass Boosting with Hinge Loss based on Output Coding.
Proceedings of the 28th International Conference on Machine Learning, 2011

Learning specific-class segmentation from diverse data.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Discriminative learning of relaxed hierarchy for large-scale visual recognition.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Multi-level inference by relaxed dual decomposition for human pose segmentation.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

A segmentation-aware object detection model with occlusion handling.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010
Discovering shared and individual latent structure in multiple time series
CoRR, 2010

Genovo: De Novo Assembly for Metagenomes.
Proceedings of the Research in Computational Molecular Biology, 2010

Self-Paced Learning for Latent Variable Models.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Real-time identification and localization of body parts from depth images.
Proceedings of the IEEE International Conference on Robotics and Automation, 2010

Non-Local Contrastive Objectives.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Accelerated dual decomposition for MAP inference.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Discriminative Learning with Latent Variables for Cluttered Indoor Scene Understanding.
Proceedings of the Computer Vision, 2010

Discriminative Learning with Latent Variables for Cluttered Indoor Scene Understanding.
Proceedings of the Computer Vision, 2010

A Unified Contour-Pixel Model for Figure-Ground Segmentation.
Proceedings of the Computer Vision - ECCV 2010, 2010

Single image depth estimation from predicted semantic labels.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Efficiently selecting regions for scene understanding.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Real time motion capture using a single time-of-flight camera.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

An Active Learning Approach to Finding Related Terms.
Proceedings of the ACL 2010, 2010

2009
Timing of Gene Expression Responses to Environmental Changes.
Journal of Computational Biology, 2009

Shape-Based Object Localization for Descriptive Classification.
International Journal of Computer Vision, 2009

MAP Estimation of Semi-Metric MRFs via Hierarchical Graph Cuts.
Proceedings of the UAI 2009, 2009

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

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

Decomposing a scene into geometric and semantically consistent regions.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

Alphabet SOUP: A framework for approximate energy minimization.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

Probabilistic Graphical Models - Principles and Techniques.
MIT Press, ISBN: 978-0-262-01319-2, 2009

2008
Max-margin Classification of Data with Absent Features.
Journal of Machine Learning Research, 2008

Multi-Class Segmentation with Relative Location Prior.
International Journal of Computer Vision, 2008

Constrained Approximate Maximum Entropy Learning of Markov Random Fields.
Proceedings of the UAI 2008, 2008

Convex Point Estimation using Undirected Bayesian Transfer Hierarchies.
Proceedings of the UAI 2008, 2008

Projected Subgradient Methods for Learning Sparse Gaussians.
Proceedings of the UAI 2008, 2008

Cascaded Classification Models: Combining Models for Holistic Scene Understanding.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Shape-Based Object Localization for Descriptive Classification.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Online Word Games for Semantic Data Collection.
Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, 2008

Learning Spatial Context: Using Stuff to Find Things.
Proceedings of the Computer Vision, 2008

Applying Sentence Simplification to the CoNLL-2008 Shared Task.
Proceedings of the Twelfth Conference on Computational Natural Language Learning, 2008

Sentence Simplification for Semantic Role Labeling.
Proceedings of the ACL 2008, 2008

2007
Reasoning at the Right Time Granularity.
Proceedings of the UAI 2007, 2007

Learning a meta-level prior for feature relevance from multiple related tasks.
Proceedings of the Machine Learning, 2007

2006
Learning Factor Graphs in Polynomial Time and Sample Complexity.
Journal of Machine Learning Research, 2006

A Continuation Method for Nash Equilibria in Structured Games.
J. Artif. Intell. Res., 2006

Residual Belief Propagation: Informed Scheduling for Asynchronous Message Passing.
Proceedings of the UAI '06, 2006

Continuous Time Markov Networks.
Proceedings of the UAI '06, 2006

Efficient Structure Learning of Markov Networks using L1-Regularization.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Using Combinatorial Optimization within Max-Product Belief Propagation.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Max-margin classification of incomplete data.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Temporal and Cross-Subject Probabilistic Models for fMRI Prediction Tasks.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Constructing informative priors using transfer learning.
Proceedings of the Machine Learning, 2006

Object Pose Detection in Range Scan Data.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

Learning Object Shape: From Drawings to Images.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

2005
SCAPE: shape completion and animation of people.
ACM Trans. Graph., 2005

Learning Module Networks.
Journal of Machine Learning Research, 2005

Probabilistic Discovery of Overlapping Cellular Processes and Their Regulation.
Journal of Computational Biology, 2005

Ordering-Based Search: A Simple and Effective Algorithm for Learning Bayesian Networks.
Proceedings of the UAI '05, 2005

Expectation Maximization and Complex Duration Distributions for Continuous Time Bayesian Networks.
Proceedings of the UAI '05, 2005

Expectation Propagation for Continuous Time Bayesian Networks.
Proceedings of the UAI '05, 2005

Learning Factor Graphs in Polynomial Time & Sample Complexity.
Proceedings of the UAI '05, 2005

Word-Sense Disambiguation for Machine Translation.
Proceedings of the HLT/EMNLP 2005, 2005

Learning structured prediction models: a large margin approach.
Proceedings of the Machine Learning, 2005

Discriminative Learning of Markov Random Fields for Segmentation of 3D Scan Data.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

2004
Representation Dependence in Probabilistic Inference.
J. Artif. Intell. Res., 2004

Simultaneous Localization and Mapping with Sparse Extended Information Filters.
I. J. Robotics Res., 2004

Understanding tuberculosis epidemiology using structured statistical models.
Artificial Intelligence in Medicine, 2004

Recovering Articulated Object Models from 3D Range Data.
Proceedings of the UAI '04, 2004

Probabilistic discovery of overlapping cellular processes and their regulation.
Proceedings of the Eighth Annual International Conference on Computational Molecular Biology, 2004

Identifying Protein-Protein Interaction Sites on a Genome-Wide Scale.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

The Correlated Correspondence Algorithm for Unsupervised Registration of Nonrigid Surfaces.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Detecting and Modeling Doors with Mobile Robots.
Proceedings of the 2004 IEEE International Conference on Robotics and Automation, 2004

Learning associative Markov networks.
Proceedings of the Machine Learning, 2004

Max-Margin Parsing.
Proceedings of the 2004 Conference on Empirical Methods in Natural Language Processing , 2004

Multi-Agent Planning in Complex Uncertain Environments.
Proceedings of the 3rd International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2004), 2004

2003
Being Bayesian About Network Structure. A Bayesian Approach to Structure Discovery in Bayesian Networks.
Machine Learning, 2003

Efficient Solution Algorithms for Factored MDPs.
J. Artif. Intell. Res., 2003

Multi-agent influence diagrams for representing and solving games.
Games and Economic Behavior, 2003

Representation Dependence in Probabilistic Inference
CoRR, 2003

From Statistical Knowledge Bases to Degrees of Belief
CoRR, 2003

Learning Module Networks.
Proceedings of the UAI '03, 2003

Learning Continuous Time Bayesian Networks.
Proceedings of the UAI '03, 2003

Decomposing Gene Expression into Cellular Processes.
Proceedings of the 8th Pacific Symposium on Biocomputing, 2003

Link Prediction in Relational Data.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Max-Margin Markov Networks.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Statistical learning from relational data.
Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24, 2003

Genome-wide discovery of transcriptional modules from DNA sequence and gene expression.
Proceedings of the Eleventh International Conference on Intelligent Systems for Molecular Biology, June 29, 2003

Discovering molecular pathways from protein interaction and gene expression data.
Proceedings of the Eleventh International Conference on Intelligent Systems for Molecular Biology, June 29, 2003

FastSLAM 2.0: An Improved Particle Filtering Algorithm for Simultaneous Localization and Mapping that Provably Converges.
Proceedings of the IJCAI-03, 2003

Generalizing Plans to New Environments in Relational MDPs.
Proceedings of the IJCAI-03, 2003

A Continuation Method for Nash Equilibria in Structured Games.
Proceedings of the IJCAI-03, 2003

Learning on the Test Data: Leveraging Unseen Features.
Proceedings of the Machine Learning, 2003

2002
Learning Probabilistic Models of Link Structure.
Journal of Machine Learning Research, 2002

Simultaneous Mapping and Localization with Sparse Extended Information Filters: Theory and Initial Results.
Proceedings of the Algorithmic Foundations of Robotics V, 2002

Discriminative Probabilistic Models for Relational Data.
Proceedings of the UAI '02, 2002

Continuous Time Bayesian Networks.
Proceedings of the UAI '02, 2002

Monitoring a Complez Physical System using a Hybrid Dynamic Bayes Net.
Proceedings of the UAI '02, 2002

Learning Hierarchical Object Maps of Non-Stationary Environments with Mobile Robots.
Proceedings of the UAI '02, 2002

Probabilistic hierarchical clustering for biological data.
Proceedings of the Sixth Annual International Conference on Computational Biology, 2002

From promoter sequence to expression: a probabilistic framework.
Proceedings of the Sixth Annual International Conference on Computational Biology, 2002

Multi-Agent Algorithms for Solving Graphical Games.
Proceedings of the Eighteenth National Conference on Artificial Intelligence and Fourteenth Conference on Innovative Applications of Artificial Intelligence, July 28, 2002

FastSLAM: A Factored Solution to the Simultaneous Localization and Mapping Problem.
Proceedings of the Eighteenth National Conference on Artificial Intelligence and Fourteenth Conference on Innovative Applications of Artificial Intelligence, July 28, 2002

Context-Specific Multiagent Coordination and Planning with Factored MDPs.
Proceedings of the Eighteenth National Conference on Artificial Intelligence and Fourteenth Conference on Innovative Applications of Artificial Intelligence, July 28, 2002

2001
Support Vector Machine Active Learning with Applications to Text Classification.
Journal of Machine Learning Research, 2001

Exact Inference in Networks with Discrete Children of Continuous Parents.
Proceedings of the UAI '01: Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence, 2001

Selectivity Estimation using Probabilistic Models.
Proceedings of the 2001 ACM SIGMOD international conference on Management of data, 2001

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

Multiagent Planning with Factored MDPs.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Rich probabilistic models for gene expression.
Proceedings of the Ninth International Conference on Intelligent Systems for Molecular Biology, 2001

Active Learning for Structure in Bayesian Networks.
Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, 2001

Probabilistic Classification and Clustering in Relational Data.
Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, 2001

Multi-Agent Influence Diagrams for Representing and Solving Games.
Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, 2001

Max-norm Projections for Factored MDPs.
Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, 2001

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

Learning an Agent's Utility Function by Observing Behavior.
Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28, 2001

2000
First-order conditional logic for default reasoning revisited.
ACM Trans. Comput. Log., 2000

Probabilistic Models for Agent's Beliefs and Decisions.
Proceedings of the UAI '00: Proceedings of the 16th Conference in Uncertainty in Artificial Intelligence, Stanford University, Stanford, California, USA, June 30, 2000

Policy Iteration for Factored MDPs.
Proceedings of the UAI '00: Proceedings of the 16th Conference in Uncertainty in Artificial Intelligence, Stanford University, Stanford, California, USA, June 30, 2000

Being Bayesian about Network Structure.
Proceedings of the UAI '00: Proceedings of the 16th Conference in Uncertainty in Artificial Intelligence, Stanford University, Stanford, California, USA, June 30, 2000

Utilities as Random Variables: Density Estimation and Structure Discovery.
Proceedings of the UAI '00: Proceedings of the 16th Conference in Uncertainty in Artificial Intelligence, Stanford University, Stanford, California, USA, June 30, 2000

Using Feature Hierarchies in Bayesian Network Learning.
Proceedings of the Abstraction, 2000

Active Learning for Parameter Estimation in Bayesian Networks.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000

Discovering Hidden Variables: A Structure-Based Approach.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000

Support Vector Machine Active Learning with Application sto Text Classification.
Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

Restricted Bayes Optimal Classifiers.
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on on Innovative Applications of Artificial Intelligence, July 30, 2000

Semantics and Inference for Recursive Probability Models.
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on on Innovative Applications of Artificial Intelligence, July 30, 2000

Bayesian Fault Detection and Diagnosis in Dynamic Systems.
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on on Innovative Applications of Artificial Intelligence, July 30, 2000

Making Rational Decisions Using Adaptive Utility Elicitation.
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on on Innovative Applications of Artificial Intelligence, July 30, 2000

1999
SPOOK: A system for probabilistic object-oriented knowledge representation.
Proceedings of the UAI '99: Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, Stockholm, Sweden, July 30, 1999

A General Algorithm for Approximate Inference and Its Application to Hybrid Bayes Nets.
Proceedings of the UAI '99: Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, Stockholm, Sweden, July 30, 1999

Discovering the Hidden Structure of Complex Dynamic Systems.
Proceedings of the UAI '99: Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, Stockholm, Sweden, July 30, 1999

Reinforcement Learning Using Approximate Belief States.
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

Policy Search via Density Estimation.
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

Probabilistic Relational Models.
Proceedings of the Inductive Logic Programming, 9th International Workshop, 1999

Computing Factored Value Functions for Policies in Structured MDPs.
Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, 1999

Efficient Reinforcement Learning in Factored MDPs.
Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, 1999

Learning Probabilistic Relational Models.
Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, 1999

Exploiting the Architecture of Dynamic Systems.
Proceedings of the Sixteenth National Conference on Artificial Intelligence and Eleventh Conference on Innovative Applications of Artificial Intelligence, 1999

1998
First-Order Conditional Logic Revisited
CoRR, 1998

Tractable Inference for Complex Stochastic Processes.
Proceedings of the UAI '98: Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, 1998

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

Using Learning for Approximation in Stochastic Processes.
Proceedings of the Fifteenth International Conference on Machine Learning (ICML 1998), 1998

Probabilistic Frame-Based Systems.
Proceedings of the Fifteenth National Conference on Artificial Intelligence and Tenth Innovative Applications of Artificial Intelligence Conference, 1998

Structured Probabilistic Models: Bayesian Networks and Beyond.
Proceedings of the Fifteenth National Conference on Artificial Intelligence and Tenth Innovative Applications of Artificial Intelligence Conference, 1998

Structured Representation of Complex Stochastic Systems.
Proceedings of the Fifteenth National Conference on Artificial Intelligence and Tenth Innovative Applications of Artificial Intelligence Conference, 1998

1997
Adaptive Probabilistic Networks with Hidden Variables.
Machine Learning, 1997

(De)randomized Construction of Small Sample Spaces in NC.
J. Comput. Syst. Sci., 1997

Representations and Solutions for Game-Theoretic Problems.
Artif. Intell., 1997

Using Probabilistic Information in Data Integration.
Proceedings of the VLDB'97, 1997

Nonuniform Dynamic Discretization in Hybrid Networks.
Proceedings of the UAI '97: Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence, 1997

Object-Oriented Bayesian Networks.
Proceedings of the UAI '97: Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence, 1997

Update Rules for Parameter Estimation in Bayesian Networks.
Proceedings of the UAI '97: Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence, 1997

Learning Probabilities for Noisy First-Order Rules.
Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, 1997

Hierarchically Classifying Documents Using Very Few Words.
Proceedings of the Fourteenth International Conference on Machine Learning (ICML 1997), 1997

Effective Bayesian Inference for Stochastic Programs.
Proceedings of the Fourteenth National Conference on Artificial Intelligence and Ninth Innovative Applications of Artificial Intelligence Conference, 1997

P-CLASSIC: A Tractable Probablistic Description Logic.
Proceedings of the Fourteenth National Conference on Artificial Intelligence and Ninth Innovative Applications of Artificial Intelligence Conference, 1997

1996
Asymptotic Conditional Probabilities: The Unary Case.
SIAM J. Comput., 1996

Asymptotic Conditional Probabilities: The Non-Unary Case.
J. Symb. Log., 1996

Structured Representations and Intractability.
ACM Comput. Surv., 1996

From Statistical Knowledge Bases to Degrees of Belief.
Artif. Intell., 1996

Context-Specific Independence in Bayesian Networks.
Proceedings of the UAI '96: Proceedings of the Twelfth Annual Conference on Uncertainty in Artificial Intelligence, 1996

Toward Optimal Feature Selection.
Proceedings of the Machine Learning, 1996

Irrelevance and Conditioning in First-Order Probabilistic Logic.
Proceedings of the Thirteenth National Conference on Artificial Intelligence and Eighth Innovative Applications of Artificial Intelligence Conference, 1996

First-Order Conditional Logic Revisited.
Proceedings of the Thirteenth National Conference on Artificial Intelligence and Eighth Innovative Applications of Artificial Intelligence Conference, 1996

1995
Stochastic simulation algorithms for dynamic probabilistic networks.
Proceedings of the UAI '95: Proceedings of the Eleventh Annual Conference on Uncertainty in Artificial Intelligence, 1995

Local Learning in Probabilistic Networks with Hidden Variables.
Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, 1995

Generating and Solving Imperfect Information Games.
Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, 1995

Representation Dependence in Probabilistic Inference.
Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, 1995

An Integrated Stereo-Based Approach to Automatic Vehicle Guidance.
ICCV, 1995

Constructing Flexible Dynamic Belief Networks from First-Order Probalistic Knowledge Bases.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning and Uncertainty, 1995

A Game-Theoretic Classification of Interactive Complexity Classes.
Proceedings of the Tenth Annual Structure in Complexity Theory Conference, 1995

1994
Constructing Small Sample Spaces Satisfying Given Constraints.
SIAM J. Discrete Math., 1994

Random Worlds and Maximum Entropy.
J. Artif. Intell. Res., 1994

Random Worlds and Maximum Entropy.
CoRR, 1994

A Response to "Believing on the Basis of the Evidence".
Computational Intelligence, 1994

Generating New Beliefs from Old.
Proceedings of the UAI '94: Proceedings of the Tenth Annual Conference on Uncertainty in Artificial Intelligence, 1994

Fast algorithms for finding randomized strategies in game trees.
Proceedings of the Twenty-Sixth Annual ACM Symposium on Theory of Computing, 1994

Towards robust automatic traffic scene analysis in real-time.
Proceedings of the 12th IAPR International Conference on Pattern Recognition, 1994

(De)randomized Construction of Small Sample Spaces in \calNC
Proceedings of the 35th Annual Symposium on Foundations of Computer Science, 1994

Automatic Symbolic Traffic Scene Analysis Using Belief Networks.
Proceedings of the 12th National Conference on Artificial Intelligence, Seattle, WA, USA, July 31, 1994

Forming Beliefs about a Changing World.
Proceedings of the 12th National Conference on Artificial Intelligence, Seattle, WA, USA, July 31, 1994

1993
Finding the Hidden Path: Time Bounds for All-Pairs Shortest Paths.
SIAM J. Comput., 1993

Constructing small sample spaces satisfying given constraints.
Proceedings of the Twenty-Fifth Annual ACM Symposium on Theory of Computing, 1993

Statistical Foundations for Default Reasoning.
Proceedings of the 13th International Joint Conference on Artificial Intelligence. Chambéry, France, August 28, 1993

Generating Degrees of Belief from Statistical Information: An Overview.
Proceedings of the Foundations of Software Technology and Theoretical Computer Science, 1993

1992
Asymptotic Conditional Probabilities for First-Order Logic
Proceedings of the 24th Annual ACM Symposium on Theory of Computing, 1992

Random Worlds and Maximum Entropy
Proceedings of the Seventh Annual Symposium on Logic in Computer Science (LICS '92), 1992

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

From Statistics to Beliefs.
Proceedings of the 10th National Conference on Artificial Intelligence, 1992

1991
Fault-Tolerant Critical Section Management in Asynchronous Environments
Inf. Comput., November, 1991

Probability Estimation in Face of Irrelevant Information.
Proceedings of the UAI '91: Proceedings of the Seventh Annual Conference on Uncertainty in Artificial Intelligence, 1991

Finding the Hidden Path: Time Bounds for All-Pairs Shortest Paths
Proceedings of the 32nd Annual Symposium on Foundations of Computer Science, 1991

1989
Fault-Tolerant Critical Section Management in Asynchronous Networks.
Proceedings of the Distributed Algorithms, 1989

1987
Achievable Cases in an Asynchronous Environment (Extended Abstract)
Proceedings of the 28th Annual Symposium on Foundations of Computer Science, 1987


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