| 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 | |