Thursday, August 7th: Tutorials
8:30 Graphical Model Research in Audio, Speech, and Language Processing
Jeff A. Bilmes, University of Washington
10:10 Break
10:30 Probabilistic Models for Relational Domains
Daphne Koller, Stanford University
12:10 Lunch Break
1:50 Uncertainty and Computational Markets
Michael P. Wellman, University of Michigan 
3:30 Break
3:50 Bayesian Networks for Forensic Identification Problems
Steffen L. Lauritzen, Aalborg University
5:30 Adjourn
6:00 Reception
Friday, August 8th
8:30 Welcome
8:50 Session: Inference
Session Chair: Anders L. Madsen
An Empirical Study of w-Cutset Sampling for Bayesian Networks
Bozhena Bidyuk, Rina Dechter
Approximate inference and constrained optimization
Tom Heskes, Kees Albers, Bert Kappen
Approximate Decomposition: A Method for Bounding and Estimating Probabilistic and Deterministic Queries
David Larkin
A generalized mean field algorithm for variational inference in exponential families
Eric Xing, Michael I. Jordan, Stuart Russell
10:30 Break
11:00 Invited Talk
Inferring 3D People from 2D Images
Michael J. Black, Brown University
12:00 Lunch Break
1:30 Session: Applications
Session Chair: Kathryn B. Laskey
Renewal Strings for cleaning astronomical databases
Amos Storkey, Nigel Hambly, Christopher Williams, Bob Mann
Marginalizing Out Future Passengers in Group Elevator Control
Daniel Nikovski, Matthew Brand
1 Billion Pages = 1 Million Dollars?  Mining the Web to Play ``Who Wants to be a Millionaire?''
Shyong Lam, David Pennock, Dan Cosley, Steve Lawrence
2:45 Poster & Demonstration Highlights
3:30 Poster Session I   Click to view list of papers (Papers are also listed at end of page)
Demonstration Session I   Click to view list of demonstrations
7:30 Conference Banquet (Hyatt Regency Acapulco)
Banquet Talk
Adrian F. M. Smith, Queen Mary and Westfield College, University of London
Saturday, August 9th
8:30 Invited Talk
Some Measures of Incoherence: How not to gamble if you must
Teddy Seidenfeld, Carnegie Mellon University
9:30 Session: Qualitative Reasoning
Session Chair: Thomas Lukasiewicz
Upgrading Ambiguous Signs in QPNs
Janneke Bolt, Silja Renooij, Linda van der Gaag
A Logic for Reasoning about Evidence
Joe Halpern, Riccardo Pucella
10:20 Break
10:50 Session: Learning I
Session Chair: David Maxwell Chickering
Collaborative Ensemble Learning: Combining Collaborative and Content-Based Information Filtering via Hierarchical Bayes
Kai Yu, Anton Schwaighofer, Volker Tresp, Wei-Ying Ma, HongJian Zhang
On Information Regularization
Adrian Corduneanu, Tommi Jaakkola
Efficiently Inducing Features of Conditional Random Fields
Andrew McCallum
12:00 Lunch Break
1:30 Session: Non-Probabilistic Reasoning
Session Chair: Joe Halpern
On revising fuzzy belief bases
Richard Booth, Eva Richter
A Linear Belief Function Approach to Portfolio Evaluation
Liping Liu, Catherine Shenoy, Prakash Shenoy
2:20 Poster & Demonstration Highlights
3:00 Poster Session II   Click to view list of papers (Papers are also listed at end of page)
Demonstration Session II   Click to view list of demonstrations
5:30 Business Meeting
Sunday, August 10th
8:30 Invited Talk
Strategic Reasoning and Graphical Models
Michael Kearns, University of Pennsylvania
9:30 Session: Planning and Cooperation
Session Chair: Ronald Parr
Cooperative Negotiation in Autonomic Systems using Incremental Utility Elicitation
Craig Boutilier, Rajarshi Das, Jeffrey Kephart, Gerry Tesauro, William Walsh
Implementation and Comparison of Solution Methods for Decision Processes with Non-Markovian Rewards
Charles Gretton, David Price, Sylvie Thiebaux
10:20 Break
10:50 Session: Learning II
Session Chair: Bo Thiesson
The Information Bottleneck EM Algorithm
Gal Elidan, Nir Friedman
Learning Module Networks
Eran Segal, Dana Pe'er, Aviv Regev, Daphne Koller, Nir Friedman
Learning Continuous Time Bayesian Networks
Uri Nodelman, Christian Shelton, Daphne Koller
Large-Sample Learning of Bayesian Networks is Hard
David Maxwell Chickering, Christopher Meek, David Heckerman
12:30 Lunch Break
1:30 Session: Sensor Fusion
Session Chair: Daphne Koller
Decentralized Sensor Fusion With Distributed Particle Filters
Matthew Rosencrantz, Geoff Gordon, Sebastian Thrun
Loopy Belief Propagation as a Basis for Communication in Sensor Networks
Christopher Crick, Avi Pfeffer
2:20 Invited Talk
What's New in Statistical Machine Translation
Kevin Knight, USC Information Sciences Institute
3:20 Break
3:45 Session: Control and Robotics
Session Chair: Stuart Russell
Efficient Gradient Estimation for Motor Control Learning
Gregory Lawrence, Noah Cowan, Stuart Russell
The Revisiting Problem in Mobile Robot Map Building: A Hierarchical Bayesian Approach
Benjamin Stewart, Jonathan Ko, Dieter Fox, Kurt Konolige
Policy-contingent abstraction for robust robot control
Joelle Pineau, Geoff Gordon, Sebastian Thrun
5:00 Adjourn