21. UAI 2005:
Edinburgh,
Scotland,
UK
UAI '05, Proceedings of the 21st Conference in Uncertainty in Artificial Intelligence, July 26-29 2005, Edinburgh, Scotland.
AUAI Press 2005, ISBN 0-9749039-1-4 BibTeX
- Shuchi Chawla, Cynthia Dwork, Frank McSherry, Kunal Talwar:
On Privacy-Preserving Histograms.
Electronic Edition (link) BibTeX
- Pieter Abbeel, Daphne Koller, Andrew Y. Ng:
Learning Factor Graphs in Polynomial Time & Sample Complexity.
1-9
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- Ayesha R. Ali, Thomas Richardson, Peter Spirtes, Jiji Zhang:
Towards Characterizing Markov Equivalence Classes for Directed Acyclic Graphs with Latent Variables.
10-17
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- Eric Altendorf, Angelo C. Restificar, Thomas G. Dietterich:
Learning from Sparse Data by Exploiting Monotonicity Constraints.
18-26
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- Leila Amgoud:
A Unified Setting for Inference and Decision: An Argumentation-based Approach.
26-33
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- Itai Ashlagi, Dov Monderer, Moshe Tennenholtz:
On the Value of Correlation.
34-41
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- Darius Braziunas, Craig Boutilier:
Local Utility Elicitation in GAI Models.
42-49
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- Jonathan Bredin, David C. Parkes:
Models for Truthful Online Double Auctions.
50-59
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- Daniel Bryce, Subbarao Kambhampati:
Cost Sensitive Reachability Heuristics for Handling State Uncertainty.
60-68
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- Ryszard Kowalczyk:
Efficient Algorithm for Estimation of Qualitative Expected Utility in Possibilistic Case-based Reasoning.
69-76
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- Zhihong Cai, Manabu Kuroki:
Counterfactual Reasoning in Linear Structural Equation Models.
77-84
Electronic Edition (link) BibTeX
- Peter Carbonetto, Jacek Kisynski, Nando de Freitas, David Poole:
Nonparametric Bayesian Logic.
85-93
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- Jennifer Carlson, Robin R. Murphy:
Use of Dempster-Shafer Conflict Metric to Detect Interpretation Inconsistency.
94-103
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- Krishnendu Chatterjee, Thomas A. Henzinger, Ranjit Jhala, Rupak Majumdar:
Counterexample-guided Planning.
104-111
Electronic Edition (link) BibTeX
- Mark Chavira, David Allen, Adnan Darwiche:
Exploiting Evidence in Probabilistic Inference.
112-127
Electronic Edition (link) BibTeX
- Adnan Darwiche, Hei Chan, Arthur Choi:
On Bayesian Network Approximation by Edge Deletion.
128-135
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- Barry R. Cobb, Prakash P. Shenoy:
Hybrid Bayesian Networks with Linear Deterministic Variables.
136-144
Electronic Edition (link) BibTeX
- Vincent Conitzer, Tuomas Sandholm:
Common Voting Rules as Maximum Likelihood Estimators.
145-152
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- Cassio Polpo de Campos, Fabio Gagliardi Cozman:
Belief Updating and Learning in Semi-Qualitative Probabilistic Networks.
153-160
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- Peter R. de Waal, Linda C. van der Gaag:
Stable Independence in Perfect Maps.
161-168
Electronic Edition (link) BibTeX
- Carmel Domshlak, Thorsten Joachims:
Unstructuring User Preferences: Efficient Non-Parametric Utility Revelation.
169-177
Electronic Edition (link) BibTeX
- 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
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- Eyal Even-Dar, Sham M. Kakade, Yishay Mansour:
Planning in POMDPs Using Multiplicity Automata.
185-192
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- A. J. Feelders, Linda C. van der Gaag:
Learning Bayesian Network Parameters with Prior Knowledge about Context-Specific Qualitative Influences.
193-200
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- Norm Ferns, Prakash Panangaden, Doina Precup:
Metrics for Markov Decision Processes with Infinite State Spaces.
201-208
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- Vibhav Gogate, Rina Dechter:
Approximate Inference Algorithms for Hybrid Bayesian Networks with Discrete Constraints.
209-216
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- Vibhav Gogate, Rina Dechter, Bozhena Bidyuk, Craig Rindt, James Marca:
Modeling Transportation Routines using Hybrid Dynamic Mixed Networks.
217-224
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- Gianluigi Greco, Francesco Scarcello:
Bounding the Uncertainty of Graphical Games: The Complexity of Simple Requirements, Pareto and Strong Nash Equilibria.
225-232
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- Yuhong Guo, Dana F. Wilkinson, Dale Schuurmans:
Maximum Margin Bayesian Networks.
233-242
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- Joseph Y. Halpern, Riccardo Pucella:
Evidence with Uncertain Likelihoods.
243-250
Electronic Edition (link) BibTeX
- 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
Electronic Edition (link) BibTeX
- Markus Harva, Tapani Raiko, Antti Honkela, Harri Valpola, Juha Karhunen:
Bayes Blocks: An Implementation of the Variational Bayesian Building Blocks Framework.
259-266
Electronic Edition (link) BibTeX
- Shen-Shyang Ho, Harry Wechsler:
On the Detection of Concept Changes in Time-Varying Data Stream by Testing Exchangeability.
267-274
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- Eric Horvitz, Johnson Apacible, Raman Sarin, Lin Liao:
Prediction, Expectation, and Surprise: Methods, Designs, and Study of a Deployed Traffic Forecasting Service.
275-283
Electronic Edition (link) BibTeX
- Changsung Kang, Jin Tian:
Local Markov Property for Models Satisfying Composition Axiom.
284-291
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- Eldar Karabaev, Olga Skvortsova:
A Heuristic Search Algorithm for Solving First-Order MDPs.
292-299
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- Kristian Kersting, Tapani Raiko:
"Say EM" for Selecting Probabilistic Models for Logical Sequences.
300-307
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- Mike Klaas, Nando de Freitas, Arnaud Doucet:
Toward Practical N2 Monte Carlo: the Marginal Particle Filter.
308-315
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- Vladimir Kolmogorov, Martin J. Wainwright:
On the Optimality of Tree-reweighted Max-product Message-passing.
316-323
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- Andreas Krause, Carlos Guestrin:
Near-optimal Nonmyopic Value of Information in Graphical Models.
324-331
Electronic Edition (link) BibTeX
- Nando de Freitas, Hendrik Kück:
Learning about Individuals from Group Statistics.
332-339
Electronic Edition (link) BibTeX
- Manabu Kuroki, Zhihong Cai, Hiroki Motogaito:
The Graphical Identification for Total Effects by using Surrogate Variables.
340-345
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- Kathryn B. Laskey, Paulo Cesar G. da Costa:
Of Starships and Klingons: Bayesian Logic for the 23rd Century.
346-353
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- Yaxin Liu, Sven Koenig:
Existence and Finiteness Conditions for Risk-Sensitive Planning: Results and Conjectures.
354-363
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- Andres Madsen:
A Differential Semantics of Lazy AR Propagation.
364-371
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- Sridhar Mahadevan:
Representation Policy Iteration.
372-379
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- Robert Mateescu, Rina Dechter:
The Relationship Between AND/OR Search and Variable Elimination.
380-387
Electronic Edition (link) BibTeX
- Andrew McCallum, Kedar Bellare, Fernando C. N. Pereira:
A Conditional Random Field for Discriminatively-trained Finite-state String Edit Distance.
388-395
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- Joris M. Mooij, Hilbert J. Kappen:
Sufficient Conditions for Convergence of Loopy Belief Propagation.
396-403
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- Mukund Narasimhan, Jeff A. Bilmes:
A Submodular-supermodular Procedure with Applications to Discriminative Structure Learning.
404-412
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- Alexandru Niculescu-Mizil, Rich Caruana:
Obtaining Calibrated Probabilities from Boosting.
413-
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- Uri Nodelman, Christian R. Shelton, Daphne Koller:
Expectation Maximization and Complex Duration Distributions for Continuous Time Bayesian Networks.
Electronic Edition (link) BibTeX
- Uri Nodelman, Daphne Koller, Christian R. Shelton:
Expectation Propagation for Continuous Time Bayesian Networks.
431-440
Electronic Edition (link) BibTeX
- Anna Osepayshvili, Michael P. Wellman, Daniel M. Reeves, Jeffrey K. MacKie-Mason:
Self-Confirming Price Prediction for Bidding in Simultaneous Ascending Auctions.
441-449
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- Mark Paskin, Sebastian Thrun:
Robotic Mapping with Polygonal Random Fields.
450-458
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- Yun Peng, Zhongli Ding:
Modifying Bayesian Networks by Probability Constraints.
459-466
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- Avi Pfeffer, Terry Tai:
Asynchronous Dynamic Bayesian Networks.
467-476
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- Guilin Qi, Weiru Liu, David A. Bell:
A Revision-Based Approach to Resolving Conflicting Information.
477-484
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- Silja Renooij, Linda C. van der Gaag:
Exploiting Evidence-dependent Sensitivity Bounds.
485-492
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- Michal Rosen-Zvi, Michael I. Jordan, Alan L. Yuille:
The DLR Hierarchy of Approximate Inference.
493-500
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- Matthew R. Rudary, Satinder P. Singh, David Wingate:
Predictive Linear-Gaussian Models of Stochastic Dynamical Systems.
501-508
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- Scott Sanner, Craig Boutilier:
Approximate Linear Programming for First-order MDPs.
509-517
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- Eerika Savia, Kai Puolamäki, Janne Sinkkonen, Samuel Kaski:
Two-Way Latent Grouping Model for User Preference Prediction.
518-524
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- Shohei Shimizu, Aapo Hyvärinen, Yutaka Kano, Patrik O. Hoyer:
Discovery of Non-gaussian Linear Causal Models using ICA.
525-533
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- Susan Shortreed, Marina Meila:
Unsupervised Spectral Learning.
534-541
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- Trey Smith, Reid G. Simmons:
Point-Based POMDP Algorithms: Improved Analysis and Implementation.
542-547
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- Marc Teyssier, Daphne Koller:
Ordering-Based Search: A Simple and Effective Algorithm for Learning Bayesian Networks.
548-549
Electronic Edition (link) BibTeX
- Finnegan Southey, Michael H. Bowling, Bryce Larson, Carmelo Piccione, Neil Burch, Darse Billings, D. Chris Rayner:
Bayes? Bluff: Opponent Modelling in Poker.
550-558
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- Umberto Straccia:
Description Logics with Fuzzy Concrete Domains.
559-567
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- Charles A. Sutton, Andrew McCallum:
Piecewise Training for Undirected Models.
568-575
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- Daniel Szer, François Charpillet, Shlomo Zilberstein:
MAA*: A Heuristic Search Algorithm for Solving Decentralized POMDPs.
576-590
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- Jin Tian:
Generating Markov Equivalent Maximal Ancestral Graphs by Single Edge Replacement.
591-598
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- Segev Wasserkrug, Avigdor Gal, Opher Etzion:
A Model for Reasoning with Uncertain Rules in Event Composition Systems.
599-608
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- Max Welling, Thomas P. Minka, Yee Whye Teh:
Structured Region Graphs: Morphing EP into GBP.
609-614
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- Paul Weng:
Qualitative Decision Making Under Possibilistic Uncertainty: Toward more Discriminating Criteria.
615-622
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- John Wicks, Amy R. Greenwald:
An Algorithm for Computing Stochastically Stable Distributions with Applications to Multiagent Learning in Repeated Games.
623-632
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- Eric P. Xing, Rong Yan, Alexander G. Hauptmann:
Mining Associated Text and Images with Dual-Wing Harmoniums.
633-641
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- Huizhen Yu:
A Function Approximation Approach to Estimation of Policy Gradient for POMDP with Structured Policies.
642-657
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- Luke S. Zettlemoyer, Michael Collins:
Learning to Map Sentences to Logical Form: Structured Classification with Probabilistic Categorial Grammars.
658-666
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- Jiji Zhang, Peter Spirtes:
A Transformational Characterization of Markov Equivalence for Directed Acyclic Graphs with Latent Variables.
667-674
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- Alice X. Zheng, Irina Rish, Alina Beygelzimer:
Efficient Test Selection in Active Diagnosis via Entropy Approximation.
675-
Electronic Edition (link) BibTeX
Copyright © Sat May 16 23:44:08 2009
by Michael Ley (ley@uni-trier.de)
