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ORCID22nd UAI 2006: Cambridge, MA, USA
- UAI '06, Proceedings of the 22nd Conference in Uncertainty in Artificial Intelligence, Cambridge, MA, USA, July 13-16, 2006. AUAI Press 2006, ISBN 0-9749039-2-2
- Manfred K. Warmuth, Dima Kuzmin:
A Bayesian Probability Calculus for Density Matrices. - Bhaskara Marthi, Stuart Russell, David Andre:
A Compact, Hierarchical Q-function Decomposition. - Sanjoy Dasgupta, Daniel J. Hsu, Nakul Verma:
A Concentration Theorem for Projections. - Phan Hong Giang:
A New Axiomatization for Likelihood Gambles. - Frank D. Wood, Thomas L. Griffiths, Zoubin Ghahramani:
A Non-Parametric Bayesian Method for Inferring Hidden Causes. - David Stavens, Sebastian Thrun:
A Self-Supervised Terrain Roughness Estimator for Off-Road Autonomous Driving. - Tomi Silander, Petri Myllymäki:
A Simple Approach for Finding the Globally Optimal Bayesian Network Structure. - Subramani Mani, Gregory F. Cooper, Peter Spirtes:
A Theoretical Study of Y Structures for Causal Discovery. - Arthur Choi, Adnan Darwiche:
A Variational Approach for Approximating Bayesian Networks by Edge Deletion. - Joseph D. Ramsey, Jiji Zhang, Peter Spirtes:
Adjacency-Faithfulness and Conservative Causal Inference. - Mikko Koivisto:
Advances in Exact Bayesian Structure Discovery in Bayesian Networks. - Michael L. Littman, Nishkam Ravi, Arjun Talwar, Martin Zinkevich:
An Efficient Optimal-Equilibrium Algorithm for Two-player Game Trees. - Yaxin Bi, Jiwen Guan:
An Efficient Triplet-based Algorithm for Evidential Reasoning. - Varsha Dani, Omid Madani, David M. Pennock, Sumit K. Sanghai, Brian Galebach:
An Empirical Comparison of Algorithms for Aggregating Expert Predictions. - Avi Pfeffer:
Approximate Separability for Weak Interaction in Dynamic Systems. - Vanessa Didelez:
Asymmetric Separation for Local Independence Graphs. - Paul Weng:
Axiomatic Foundations for a Class of Generalized Expected Utility: Algebraic Expected Utility. - Ricardo Bezerra de Andrade e Silva, Zoubin Ghahramani:
Bayesian Inference for Gaussian Mixed Graph Models. - Zhihua Zhang, Michael I. Jordan:
Bayesian Multicategory Support Vector Machines. - Max Welling, Sridevi Parise:
Bayesian Random Fields: The Bethe-Laplace Approximation. - Anders L. Madsen:
Belief Update in CLG Bayesian Networks With Lazy Propagation. - Thomas Degris, Olivier Sigaud, Pierre-Henri Wuillemin:
Chi-square Tests Driven Method for Learning the Structure of Factored MDPs. - Tal El-Hay, Nir Friedman, Daphne Koller, Raz Kupferman:
Continuous Time Markov Networks. - Yuhong Guo, Dale Schuurmans:
Convex Structure Learning for Bayesian Networks: Polynomial Feature Selection and Approximate Ordering. - Bozhena Bidyuk, Rina Dechter:
Cutset Sampling with Likelihood Weighting. - Nir Friedman, Raz Kupferman:
Dimension Reduction in Singularly Perturbed Continuous-Time Bayesian Networks. - Vanessa Didelez, A. Philip Dawid, Sara Geneletti:
Direct and Indirect Effects of Sequential Treatments. - Koby Crammer, Amir Globerson:
Discriminative Learning via Semidefinite Probabilistic Models. - Monika Schaeffer, Ronald Parr:
Efficient Selection of Disambiguating Actions for Stereo Vision. - Dongryeol Lee, Alexander G. Gray:
Faster Gaussian Summation: Theory and Experiment. - Michael Eichler:
Fitting Graphical Interaction Models to Multivariate Time Series. - Cédric Pralet, Thomas Schiex, Gérard Verfaillie:
From Influence Diagrams to Multi-operator Cluster DAGs. - Matthew J. Beal, Praveen Krishnamurthy:
Gene Expression Time Course Clustering with Countably Infinite Hidden Markov Models. - Brian Milch, Stuart Russell:
General-Purpose MCMC Inference over Relational Structures. - Ian Porteous, Alexander T. Ihler, Padhraic Smyth, Max Welling:
Gibbs Sampling for (Coupled) Infinite Mixture Models in the Stick Breaking Representation. - Carlos Brito, Judea Pearl:
Graphical Condition for Identification in recursive SEM. - Ilya Shpitser, Judea Pearl:
Identification of Conditional Interventional Distributions. - José M. Peña, Roland Nilsson, Johan Björkegren, Jesper Tegnér:
Identifying the Relevant Nodes Without Learning the Model. - Alexander L. Strehl, Lihong Li, Michael L. Littman:
Incremental Model-based Learners With Formal Learning-Time Guarantees. - Changsung Kang, Jin Tian:
Inequality Constraints in Causal Models with Hidden Variables. - Prakash P. Shenoy:
Inference in Hybrid Bayesian Networks Using Mixtures of Gaussians. - Zhao Xu, Volker Tresp, Kai Yu, Hans-Peter Kriegel:
Infinite Hidden Relational Models. - Chalee Asavathiratham:
Linear Algebra Approach to Separable Bayesian Networks. - Robert G. Cowell, Steffen L. Lauritzen, Julia Mortera:
MAIES: A Tool for DNA Mixture Analysis. - Inmar E. Givoni, Vincent Cheung, Brendan J. Frey:
Matrix Tile Analysis. - Iain Murray, Zoubin Ghahramani, David J. C. MacKay:
MCMC for Doubly-intractable Distributions. - Norm Ferns, Pablo Samuel Castro, Doina Precup, Prakash Panangaden:
Methods for Computing State Similarity in Markov Decision Processes. - Chris D. Bartels, Jeff A. Bilmes:
Non-Minimal Triangulations for Mixed Stochastic/Deterministic Graphical Models. - Or Zuk, Shiri Margel, Eytan Domany:
On the Number of Samples Needed to Learn the Correct Structure of a Bayesian Network. - Hei Chan, Adnan Darwiche:
On the Robustness of Most Probable Explanations. - Ruggiero Cavallo, David C. Parkes, Satinder Singh:
Optimal Coordinated Planning Amongst Self-Interested Agents with Private State. - Yimin Huang, Marco Valtorta:
Pearl's Calculus of Intervention Is Complete. - Scott Sanner, Craig Boutilier:
Practical Linear Value-approximation Techniques for First-order MDPs. - John Langford, Roberto Oliveira, Bianca Zadrozny:
Predicting Conditional Quantiles via Reduction to Classification. - Kathryn B. Laskey, Ning Xu, Chun-Hung Chen:
Propagation of Delays in the National Airspace System. - Harald Steck:
Ranking by Dependence - A Fair Criteria. - Seunghwan Lee:
Reasoning about Uncertainty in Metric Spaces. - Amar Subramanya, Alvin Raj, Jeff A. Bilmes, Dieter Fox:
Recognizing Activities and Spatial Context Using Wearable Sensors. - Gal Elidan, Ian McGraw, Daphne Koller:
Residual Belief Propagation: Informed Scheduling for Asynchronous Message Passing. - Itai Ashlagi, Moshe Tennenholtz, Dov Monderer:
Robust Learning Equilibrium. - Theodore Charitos, Linda C. van der Gaag:
Sensitivity Analysis for Threshold Decision Making with Dynamic Networks. - Guy Lebanon:
Sequential Document Representations and Simplicial Curves. - Wim Wiegerinck, Bart van den Broek, Bert Kappen:
Stochastic Optimal Control in Continuous Space-Time Multi-Agent Systems. - Manabu Kuroki, Zhihong Cai:
Stratified Analysis of 'Probabilities of Causation'. - Vikash K. Mansinghka, Charles Kemp, Thomas L. Griffiths, Joshua B. Tenenbaum:
Structured Priors for Structure Learning. - Manfred Jaeger:
The AI&M Procedure for Learning from Incomplete Data. - Edward Lloyd Snelson, Zoubin Ghahramani:
Variable Noise and Dimensionality Reduction for Sparse Gaussian processes. - Guobiao Mei, Peter Russo:
Visualization of Collaborative Data.
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