UAI A

69 papers

YearTitle / Authors
2006A Bayesian Probability Calculus for Density Matrices.
Manfred K. Warmuth, Dima Kuzmin
2006A Compact, Hierarchical Q-function Decomposition.
Bhaskara Marthi, Stuart Russell, David Andre
2006A Concentration Theorem for Projections.
Sanjoy Dasgupta, Daniel J. Hsu, Nakul Verma
2006A New Axiomatization for Likelihood Gambles.
Phan Hong Giang
2006A Non-Parametric Bayesian Method for Inferring Hidden Causes.
Frank D. Wood, Thomas L. Griffiths, Zoubin Ghahramani
2006A Self-Supervised Terrain Roughness Estimator for Off-Road Autonomous Driving.
David Stavens, Sebastian Thrun
2006A Simple Approach for Finding the Globally Optimal Bayesian Network Structure.
Tomi Silander, Petri Myllymäki
2006A Theoretical Study of Y Structures for Causal Discovery.
Subramani Mani, Gregory F. Cooper, Peter Spirtes
2006A Variational Approach for Approximating Bayesian Networks by Edge Deletion.
Arthur Choi, Adnan Darwiche
2006Adjacency-Faithfulness and Conservative Causal Inference.
Joseph D. Ramsey, Jiji Zhang, Peter Spirtes
2006Advances in Exact Bayesian Structure Discovery in Bayesian Networks.
Mikko Koivisto
2006An Efficient Optimal-Equilibrium Algorithm for Two-player Game Trees.
Michael L. Littman, Nishkam Ravi, Arjun Talwar, Martin Zinkevich
2006An Efficient Triplet-based Algorithm for Evidential Reasoning.
Yaxin Bi, Jiwen Guan
2006An Empirical Comparison of Algorithms for Aggregating Expert Predictions.
Varsha Dani, Omid Madani, David M. Pennock, Sumit K. Sanghai, Brian Galebach
2006Approximate Separability for Weak Interaction in Dynamic Systems.
Avi Pfeffer
2006Asymmetric Separation for Local Independence Graphs.
Vanessa Didelez
2006Axiomatic Foundations for a Class of Generalized Expected Utility: Algebraic Expected Utility.
Paul Weng
2006Bayesian Inference for Gaussian Mixed Graph Models.
Ricardo Bezerra de Andrade e Silva, Zoubin Ghahramani
2006Bayesian Multicategory Support Vector Machines.
Zhihua Zhang, Michael I. Jordan
2006Bayesian Random Fields: The Bethe-Laplace Approximation.
Max Welling, Sridevi Parise
2006Belief Update in CLG Bayesian Networks With Lazy Propagation.
Anders L. Madsen
2006Chi-square Tests Driven Method for Learning the Structure of Factored MDPs.
Thomas Degris, Olivier Sigaud, Pierre-Henri Wuillemin
2006Continuous Time Markov Networks.
Tal El-Hay, Nir Friedman, Daphne Koller, Raz Kupferman
2006Convex Structure Learning for Bayesian Networks: Polynomial Feature Selection and Approximate Ordering.
Yuhong Guo, Dale Schuurmans
2006Cutset Sampling with Likelihood Weighting.
Bozhena Bidyuk, Rina Dechter
2006Dimension Reduction in Singularly Perturbed Continuous-Time Bayesian Networks.
Nir Friedman, Raz Kupferman
2006Direct and Indirect Effects of Sequential Treatments.
Vanessa Didelez, A. Philip Dawid, Sara Geneletti
2006Discriminative Learning via Semidefinite Probabilistic Models.
Koby Crammer, Amir Globerson
2006Efficient Selection of Disambiguating Actions for Stereo Vision.
Monika Schaeffer, Ronald Parr
2006Faster Gaussian Summation: Theory and Experiment.
Dongryeol Lee, Alexander G. Gray
2006Fitting Graphical Interaction Models to Multivariate Time Series.
Michael Eichler
2006From Influence Diagrams to Multi-operator Cluster DAGs.
Cédric Pralet, Thomas Schiex, Gérard Verfaillie
2006Gene Expression Time Course Clustering with Countably Infinite Hidden Markov Models.
Matthew J. Beal, Praveen Krishnamurthy
2006General-Purpose MCMC Inference over Relational Structures.
Brian Milch, Stuart Russell
2006Gibbs Sampling for (Coupled) Infinite Mixture Models in the Stick Breaking Representation.
Ian Porteous, Alexander T. Ihler, Padhraic Smyth, Max Welling
2006Graphical Condition for Identification in recursive SEM.
Carlos Brito, Judea Pearl
2006Identification of Conditional Interventional Distributions.
Ilya Shpitser, Judea Pearl
2006Identifying the Relevant Nodes Without Learning the Model.
José M. Peña, Roland Nilsson, Johan Björkegren, Jesper Tegnér
2006Incremental Model-based Learners With Formal Learning-Time Guarantees.
Alexander L. Strehl, Lihong Li, Michael L. Littman
2006Inequality Constraints in Causal Models with Hidden Variables.
Changsung Kang, Jin Tian
2006Inference in Hybrid Bayesian Networks Using Mixtures of Gaussians.
Prakash P. Shenoy
2006Infinite Hidden Relational Models.
Zhao Xu, Volker Tresp, Kai Yu, Hans-Peter Kriegel
2006Linear Algebra Approach to Separable Bayesian Networks.
Chalee Asavathiratham
2006MAIES: A Tool for DNA Mixture Analysis.
Robert G. Cowell, Steffen L. Lauritzen, Julia Mortera
2006MCMC for Doubly-intractable Distributions.
Iain Murray, Zoubin Ghahramani, David J. C. MacKay
2006Matrix Tile Analysis.
Inmar E. Givoni, Vincent Cheung, Brendan J. Frey
2006Methods for Computing State Similarity in Markov Decision Processes.
Norm Ferns, Pablo Samuel Castro, Doina Precup, Prakash Panangaden
2006Non-Minimal Triangulations for Mixed Stochastic/Deterministic Graphical Models.
Chris D. Bartels, Jeff A. Bilmes
2006On the Number of Samples Needed to Learn the Correct Structure of a Bayesian Network.
Or Zuk, Shiri Margel, Eytan Domany
2006On the Robustness of Most Probable Explanations.
Hei Chan, Adnan Darwiche
2006Optimal Coordinated Planning Amongst Self-Interested Agents with Private State.
Ruggiero Cavallo, David C. Parkes, Satinder Singh
2006Pearl's Calculus of Intervention Is Complete.
Yimin Huang, Marco Valtorta
2006Practical Linear Value-approximation Techniques for First-order MDPs.
Scott Sanner, Craig Boutilier
2006Predicting Conditional Quantiles via Reduction to Classification.
John Langford, Roberto Oliveira, Bianca Zadrozny
2006Propagation of Delays in the National Airspace System.
Kathryn B. Laskey, Ning Xu, Chun-Hung Chen
2006Ranking by Dependence - A Fair Criteria.
Harald Steck
2006Reasoning about Uncertainty in Metric Spaces.
Seunghwan Lee
2006Recognizing Activities and Spatial Context Using Wearable Sensors.
Amar Subramanya, Alvin Raj, Jeff A. Bilmes, Dieter Fox
2006Residual Belief Propagation: Informed Scheduling for Asynchronous Message Passing.
Gal Elidan, Ian McGraw, Daphne Koller
2006Robust Learning Equilibrium.
Itai Ashlagi, Moshe Tennenholtz, Dov Monderer
2006Sensitivity Analysis for Threshold Decision Making with Dynamic Networks.
Theodore Charitos, Linda C. van der Gaag
2006Sequential Document Representations and Simplicial Curves.
Guy Lebanon
2006Stochastic Optimal Control in Continuous Space-Time Multi-Agent Systems.
Wim Wiegerinck, Bart van den Broek, Bert Kappen
2006Stratified Analysis of 'Probabilities of Causation'.
Manabu Kuroki, Zhihong Cai
2006Structured Priors for Structure Learning.
Vikash K. Mansinghka, Charles Kemp, Thomas L. Griffiths, Joshua B. Tenenbaum
2006The AI&M Procedure for Learning from Incomplete Data.
Manfred Jaeger
2006UAI '06, Proceedings of the 22nd Conference in Uncertainty in Artificial Intelligence, Cambridge, MA, USA, July 13-16, 2006
2006Variable Noise and Dimensionality Reduction for Sparse Gaussian processes.
Edward Lloyd Snelson, Zoubin Ghahramani
2006Visualization of Collaborative Data.
Guobiao Mei, Peter Russo