UAI 2004 Schedule
Wednesday, July 7: Applications Workshop
Thursday, July 8: Tutorials
|
8:30 |
Eliciting, Modeling, and Reasoning about Preference using CP-nets |
| Ronen Brafman, Ben-Gurion University | |
| Download Slides | |
| 10:10 | Break |
| 10:30 | Constraint processing: a graphical models perspective |
| Rina Dechter, University of California at Irvine | |
| Download Slides | |
| 12:10 | Lunch |
| 1:50 | Graphical Models in Computational Molecular Biology |
| Nir Friedman, Hebrew University | |
| Download Slides Part I | |
| Download Slides Part II | |
| Download Slides Part IIII | |
| 3:30 | Break |
| 3:50 | Graphical models, exponential families, and variational inference |
| Martin Wainwright, University of California at Berkeley | |
| Download Slides | |
| 5:30 | Adjourn |
| 6:30 | Reception |
Friday, July 9
|
8:30 |
Welcome |
| 8:50 | Session: Foundations |
| Robustness of Causal Claims | |
| Judea Pearl | |
| Monotonicity in Bayesian Networks | |
| Linda van der Gaag, Hans Bodlaender, Ad Feelders | |
| A new characterization of probabilities in Bayesian networks | |
| Lenhart Schubert | |
| The Case-Factor Complexity of Markov Random Fields | |
| David McAllester, Michael Collins, Fernando Pereira | |
| 10:30 | Break |
| 11:00 | Invited Talk: Cascading Behavior and Bursty Dynamics in Computational Models of Social Networks |
| Jon Kleinberg | |
| 12:00 | Lunch |
| 1:40 | Session: Probabilistic Modeling I |
| Hybrid Influence Diagrams Using Mixtures of Truncated Exponentials | |
| Barry Cobb, Prakash Shenoy | |
| The Author-Topic Model for Authors and Documents | |
| Michal Rosen-Zvi, Thomas Griffiths, Mark Steyvers, Padhraic Smyth | |
| 2:30 | Invited Talk: Markov Processes and Markov Decision Processes: The Verification Perspective |
| Moshe Vardi | |
| 3:30 | Poster Highlights |
| 4:15 | Poster Session I |
Saturday, July 10
|
8:30 |
Invited Talk: What is the matter? Explorations in text categorization |
| Lillian Lee | |
| 9:30 | Session: Multiple Agents |
| Reputation Systems: An Axiomatic Approach | |
| Moshe Tennenholtz | |
| Regret Minimizing Equilibria and Mechanisms for Games with Strict Type Uncertainty | |
| Nathanael Hyafil, Craig Boutilier | |
| 10:20 | Break |
| 10:50 | Session: Temporal Models |
| Blind Construction of Optimal Nonlinear Recursive Predictors for Discrete Sequences | |
| Cosma Shalizi, Kristina Shalizi | |
| Conditional Chow-Liu Tree Structures for Modeling Discrete-Valued Vector Time Series | |
| Sergey Kirshner, Padhraic Smyth, Andrew Robertson | |
| ARMA Time-Series Modeling with Graphical Models | |
| Bo Thiesson, Max Chickering, David Heckerman, Christopher Meek | |
| 12:05 | Lunch |
| 2:00 | Session: Non-probabilistic Reasoning |
| An axiomatic framework for order of magnitude confidence relations | |
| Didier Dubois, Helene Fargier | |
| A Logic Programming Framework for Possibilistic Argumentation with Vague Knowledge | |
| Carlos Chesnevar, Guillermo Simari, Teresa Alsinet, Lluis Godo | |
| Using arguments for making decisions: A possibilistic logic approach | |
| Leila Amgoud, Henri Prade | |
| 3:15 | Poster Highlights |
| 4:00 | Poster Session II |
| 7:30 | Banquet |
| Talk: Bayesian or Frequentist? How to Double Your Chances for a Date. | |
| Ed George |
Sunday, July 11
|
8:30 |
Invited Talk: Good-Turing estimation and its applications |
| Alon Orlitsky | |
| 9:30 | Session: Inference |
| Breaking the Loops: An Efficient MCMC Method for Markov Random Fields | |
| Firas Hamze, Nando de Freitas | |
| Annealed MAP | |
| Changhe Yuan, Tsai-Ching Lu, Marek Druzdzel | |
| 10:20 | Break |
| 10:50 | Session: Learning |
| "Ideal Parent" Structure Learning for Continuous Variable Networks | |
| Gal Elidan, Iftach Nachman, Nir Friedman | |
| Active Model Selection | |
| Omid Madani, Daniel Lizotte, Russ Greiner | |
| PAC-learning bounded tree-width graphical models | |
| Mukund Narasimhan, Jeff Bilmes | |
| Dependent Dirichlet Priors and Optimal Linear Estimators for Belief Net Parameters | |
| Peter Hooper | |
| 12:30 | Lunch |
| 2:00 | Session: Decision-theoretic planning |
| Metrics for Finite Markov Decision Processes | |
| Norman Ferns, Prakash Panangaden, Doina Precup | |
| Heuristic Search Value Iteration for POMDPs | |
| Trey Smith, Reid Simmons | |
| 2:50 | Session: Probabilistic Modeling II |
| Convolutional factor graphs as probabilistic models | |
| Yongyi Mao, Frank Kschischang, Brendan Frey | |
|
Iterative Conditional Fitting for Gaussian Ancestral Graph Models |
|
| Mathias Drton, Thomas Richardson | |
| 3:40 | Break |
| 4:10 | Session: Applications |
| Bayesian Biosurveillance of Disease Outbreaks | |
| Gregory Cooper, Denver Dash, John Levander, Weng-Keen Wong, William Hogan, Michael Wagner | |
| Probabilistic index maps for modeling natural signals | |
| Nebojsa Jojic, Yaron Caspi, Manual Reyes-Gomez | |
| An Integrated, Conditional Model of Information Extraction and Coreference with Application to Citation Matching | |
| Benjamin Wellner, Andrew McCallum, Fuchun Peng, Michael Hay |