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21st UAI 2005: Edinburgh, Scotland, UK
- UAI '05, Proceedings of the 21st Conference in Uncertainty in Artificial Intelligence, Edinburgh, Scotland, July 26-29, 2005. AUAI Press 2005, ISBN 0-9749039-1-4
- Shuchi Chawla, Cynthia Dwork, Frank McSherry, Kunal Talwar:
On Privacy-Preserving Histograms. - Pieter Abbeel, Daphne Koller, Andrew Y. Ng:
Learning Factor Graphs in Polynomial Time & Sample Complexity. 1-9 - Ayesha R. Ali, Thomas S. Richardson, Peter Spirtes, Jiji Zhang:
Towards Characterizing Markov Equivalence Classes for Directed Acyclic Graphs with Latent Variables. 10-17 - Eric Altendorf, Angelo C. Restificar, Thomas G. Dietterich:
Learning from Sparse Data by Exploiting Monotonicity Constraints. 18-26 - Leila Amgoud:
A Unified Setting for Inference and Decision: An Argumentation-based Approach. 26-33 - Itai Ashlagi, Dov Monderer, Moshe Tennenholtz:
On the Value of Correlation. 34-41 - Darius Braziunas, Craig Boutilier:
Local Utility Elicitation in GAI Models. 42-49 - Jonathan Bredin, David C. Parkes:
Models for Truthful Online Double Auctions. 50-59 - Daniel Bryce, Subbarao Kambhampati:
Cost Sensitive Reachability Heuristics for Handling State Uncertainty. 60-68 - Ryszard Kowalczyk:
Efficient Algorithm for Estimation of Qualitative Expected Utility in Possibilistic Case-based Reasoning. 69-76 - Zhihong Cai, Manabu Kuroki:
Counterfactual Reasoning in Linear Structural Equation Models. 77-84 - Peter Carbonetto, Jacek Kisynski, Nando de Freitas, David Poole:
Nonparametric Bayesian Logic. 85-93 - Jennifer Carlson, Robin R. Murphy:
Use of Dempster-Shafer Conflict Metric to Detect Interpretation Inconsistency. 94-103 - Krishnendu Chatterjee, Thomas A. Henzinger, Ranjit Jhala, Rupak Majumdar:
Counterexample-guided Planning. 104-111 - Mark Chavira, David Allen, Adnan Darwiche:
Exploiting Evidence in Probabilistic Inference. 112-127 - Adnan Darwiche, Hei Chan, Arthur Choi:
On Bayesian Network Approximation by Edge Deletion. 128-135 - Barry R. Cobb, Prakash P. Shenoy:
Hybrid Bayesian Networks with Linear Deterministic Variables. 136-144 - Vincent Conitzer, Tuomas Sandholm:
Common Voting Rules as Maximum Likelihood Estimators. 145-152 - Cassio Polpo de Campos, Fábio Gagliardi Cozman:
Belief Updating and Learning in Semi-Qualitative Probabilistic Networks. 153-160 - Peter R. de Waal, Linda C. van der Gaag:
Stable Independence in Perfect Maps. 161-168 - Carmel Domshlak, Thorsten Joachims:
Unstructuring User Preferences: Efficient Non-Parametric Utility Revelation. 169-177 - Frederick Eberhardt, Clark Glymour, Richard Scheines:
On the Number of Experiments Sufficient and in the Worst Case Necessary to Identify All Causal Relations Among N Variables. 178-184 - Eyal Even-Dar, Sham M. Kakade, Yishay Mansour:
Planning in POMDPs Using Multiplicity Automata. 185-192 - A. J. Feelders, Linda C. van der Gaag:
Learning Bayesian Network Parameters with Prior Knowledge about Context-Specific Qualitative Influences. 193-200 - Norm Ferns, Prakash Panangaden, Doina Precup:
Metrics for Markov Decision Processes with Infinite State Spaces. 201-208 - Vibhav Gogate, Rina Dechter:
Approximate Inference Algorithms for Hybrid Bayesian Networks with Discrete Constraints. 209-216 - Vibhav Gogate, Rina Dechter, Bozhena Bidyuk, Craig Rindt, James Marca:
Modeling Transportation Routines using Hybrid Dynamic Mixed Networks. 217-224 - Gianluigi Greco, Francesco Scarcello:
Bounding the Uncertainty of Graphical Games: The Complexity of Simple Requirements, Pareto and Strong Nash Equilibria. 225-232 - Yuhong Guo, Dana F. Wilkinson, Dale Schuurmans:
Maximum Margin Bayesian Networks. 233-242 - Joseph Y. Halpern, Riccardo Pucella:
Evidence with Uncertain Likelihoods. 243-250 - Rafay Hammid, Siddhartha Maddi, Amos Y. Johnson, Aaron F. Bobick, Irfan A. Essa, Charles Lee Isbell Jr.:
Unsupervised Activity Discovery and Characterization From Event-Streams. 251-258 - Markus Harva, Tapani Raiko, Antti Honkela, Harri Valpola, Juha Karhunen:
Bayes Blocks: An Implementation of the Variational Bayesian Building Blocks Framework. 259-266 - Shen-Shyang Ho, Harry Wechsler:
On the Detection of Concept Changes in Time-Varying Data Stream by Testing Exchangeability. 267-274 - Eric Horvitz, Johnson Apacible, Raman Sarin, Lin Liao:
Prediction, Expectation, and Surprise: Methods, Designs, and Study of a Deployed Traffic Forecasting Service. 275-283 - Changsung Kang, Jin Tian:
Local Markov Property for Models Satisfying Composition Axiom. 284-291 - Eldar Karabaev, Olga Skvortsova:
A Heuristic Search Algorithm for Solving First-Order MDPs. 292-299 - Kristian Kersting, Tapani Raiko:
"Say EM" for Selecting Probabilistic Models for Logical Sequences. 300-307 - Mike Klaas, Nando de Freitas, Arnaud Doucet:
Toward Practical N2 Monte Carlo: the Marginal Particle Filter. 308-315 - Vladimir Kolmogorov, Martin J. Wainwright:
On the Optimality of Tree-reweighted Max-product Message-passing. 316-323 - Andreas Krause, Carlos Guestrin:
Near-optimal Nonmyopic Value of Information in Graphical Models. 324-331 - Nando de Freitas, Hendrik Kück:
Learning about Individuals from Group Statistics. 332-339 - Manabu Kuroki, Zhihong Cai, Hiroki Motogaito:
The Graphical Identification for Total Effects by using Surrogate Variables. 340-345 - Kathryn B. Laskey, Paulo Cesar G. da Costa:
Of Starships and Klingons: Bayesian Logic for the 23rd Century. 346-353 - Yaxin Liu, Sven Koenig:
Existence and Finiteness Conditions for Risk-Sensitive Planning: Results and Conjectures. 354-363 - Andres Madsen:
A Differential Semantics of Lazy AR Propagation. 364-371 - Sridhar Mahadevan:
Representation Policy Iteration. 372-379 - Robert Mateescu, Rina Dechter:
The Relationship Between AND/OR Search and Variable Elimination. 380-387 - Andrew McCallum, Kedar Bellare, Fernando C. N. Pereira:
A Conditional Random Field for Discriminatively-trained Finite-state String Edit Distance. 388-395 - Joris M. Mooij, Hilbert J. Kappen:
Sufficient Conditions for Convergence of Loopy Belief Propagation. 396-403 - Mukund Narasimhan, Jeff A. Bilmes:
A Submodular-supermodular Procedure with Applications to Discriminative Structure Learning. 404-412 - Alexandru Niculescu-Mizil, Rich Caruana:
Obtaining Calibrated Probabilities from Boosting. 413- - Uri Nodelman, Christian R. Shelton, Daphne Koller:
Expectation Maximization and Complex Duration Distributions for Continuous Time Bayesian Networks. - Uri Nodelman, Daphne Koller, Christian R. Shelton:
Expectation Propagation for Continuous Time Bayesian Networks. 431-440 - Anna Osepayshvili, Michael P. Wellman, Daniel M. Reeves, Jeffrey K. MacKie-Mason:
Self-Confirming Price Prediction for Bidding in Simultaneous Ascending Auctions. 441-449 - Mark Paskin, Sebastian Thrun:
Robotic Mapping with Polygonal Random Fields. 450-458 - Yun Peng, Zhongli Ding:
Modifying Bayesian Networks by Probability Constraints. 459-466 - Avi Pfeffer, Terry Tai:
Asynchronous Dynamic Bayesian Networks. 467-476 - Guilin Qi, Weiru Liu, David A. Bell:
A Revision-Based Approach to Resolving Conflicting Information. 477-484 - Silja Renooij, Linda C. van der Gaag:
Exploiting Evidence-dependent Sensitivity Bounds. 485-492 - Michal Rosen-Zvi, Michael I. Jordan, Alan L. Yuille:
The DLR Hierarchy of Approximate Inference. 493-500 - Matthew R. Rudary, Satinder Singh, David Wingate:
Predictive Linear-Gaussian Models of Stochastic Dynamical Systems. 501-508 - Scott Sanner, Craig Boutilier:
Approximate Linear Programming for First-order MDPs. 509-517 - Eerika Savia, Kai Puolamäki, Janne Sinkkonen, Samuel Kaski:
Two-Way Latent Grouping Model for User Preference Prediction. 518-524 - Shohei Shimizu, Aapo Hyvärinen, Yutaka Kano, Patrik O. Hoyer:
Discovery of Non-gaussian Linear Causal Models using ICA. 525-533 - Susan M. Shortreed, Marina Meila:
Unsupervised Spectral Learning. 534-541 - Trey Smith, Reid G. Simmons:
Point-Based POMDP Algorithms: Improved Analysis and Implementation. 542-547 - Marc Teyssier, Daphne Koller:
Ordering-Based Search: A Simple and Effective Algorithm for Learning Bayesian Networks. 548-549 - Finnegan Southey, Michael H. Bowling, Bryce Larson, Carmelo Piccione, Neil Burch, Darse Billings, D. Chris Rayner:
Bayes? Bluff: Opponent Modelling in Poker. 550-558 - Umberto Straccia:
Description Logics with Fuzzy Concrete Domains. 559-567 - Charles Sutton, Andrew McCallum:
Piecewise Training for Undirected Models. 568-575 - Daniel Szer, François Charpillet, Shlomo Zilberstein:
MAA*: A Heuristic Search Algorithm for Solving Decentralized POMDPs. 576-590 - Jin Tian:
Generating Markov Equivalent Maximal Ancestral Graphs by Single Edge Replacement. 591-598 - Segev Wasserkrug, Avigdor Gal, Opher Etzion:
A Model for Reasoning with Uncertain Rules in Event Composition Systems. 599-608 - Max Welling, Thomas P. Minka, Yee Whye Teh:
Structured Region Graphs: Morphing EP into GBP. 609-614 - Paul Weng:
Qualitative Decision Making Under Possibilistic Uncertainty: Toward more Discriminating Criteria. 615-622 - John R. Wicks, Amy Greenwald:
An Algorithm for Computing Stochastically Stable Distributions with Applications to Multiagent Learning in Repeated Games. 623-632 - Eric P. Xing, Rong Yan, Alexander G. Hauptmann:
Mining Associated Text and Images with Dual-Wing Harmoniums. 633-641 - Huizhen Yu:
A Function Approximation Approach to Estimation of Policy Gradient for POMDP with Structured Policies. 642-657 - Luke S. Zettlemoyer, Michael Collins:
Learning to Map Sentences to Logical Form: Structured Classification with Probabilistic Categorial Grammars. 658-666 - Jiji Zhang, Peter Spirtes:
A Transformational Characterization of Markov Equivalence for Directed Acyclic Graphs with Latent Variables. 667-674 - Alice X. Zheng, Irina Rish, Alina Beygelzimer:
Efficient Test Selection in Active Diagnosis via Entropy Approximation. 675-
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