| Posters | |
| Abbeel (Ng) | Inverse Reinforcement Learning |
| Anguelov (Koller) | Probabilistic models of shape |
| Balakrishnan/Hwang/Roy (Tomlin) | Inference methods for stochastic hybrid systems |
| Flaherty (Jordan) | Consensus cellular response profiling via a compendium of chemogenic experiments |
| Inalhan (Tomlin) | Decentralized Nash Solutions |
| Lawrence (Russell) | Efficient gradient estimates for motor control learning |
| Nguyen (Jordan) | On the concentration of expectation and approximate inference in layered Bayesian networks |
| Shelton (Koller) | Continuous-Time Bayesian Nets |
| Taskar/Guestrin (Koller) | Maximum-Margin Markov Networks |
| Van Roy | Tetris: Experiments with the LP Approach to Approximate DP |
| Wagner (Anantharam) | Low-rate reliability of timing channels |
| Wetts | Nash equilibria |
| Allen (Darwiche) | New Advances in Inference by Recursive Conditioning |
| Bonet (Pearl) | Improving the Convergence of Real-Time Dynamic Programming |
| Bidyuk (Dechter) | W-cutset sampling in Bayesian networks |
| Chan (Darwiche) | On the Revision of Probabilistic Beliefs Using Uncertain Evidence |
| Chavira (Darwiche) | Verifying and Analyzing Classifiers |
| (Dechter) | Systematic and non-systematic algorithms for most likely scenario |
| Hopkins (Pearl) | LAYERWIDTH: Analysis of a New Metric for Directed, Acyclic Graphs |
| Mateescu (Dechter) | An insight into belief propagation success, |
| Mattescu (Dechter) | REES: A reasoning evaluation tool, an update |
| Park (Darwiche) | Solving MAP Exactly using Systematic Search |
| (Roth) | On Kernels Methods for Relational Learning |
| (Roth) | Open Domain Question Answering |
| (Roth) | Inference with Classifiers |
| (Roth) | Shallow Parsing and Named Entity Recognition |
| (Roth) | Constraint Classification for Multiclass Classification and Category Ranking |