| Time | |
| 7:30 | Opening remarks
A. J. Smola, S V N Vishwanathan and B. Taskar |
| 7:40 | Kernel Methods for Missing Variables
A J. Smola and S V N Vishwanathan and T. Hofmann |
| 8:05 | Semidefinite Relaxations for MAP Estimation in Exponential Families
A. J. Smola, R. I. Kondor, S V N Vishwanathan and T. Jebara |
| 8:30 | F. Pereira |
| 8:55 | coffee break |
| 9:15 | A Family of Probabilistic Kernels Based on Information Divergence
A. B. Chan, N. Vasconcelos and P. J. Moreno |
| 9:40 | Comparison of Recent Kernel Methods for Graphical Models
Y. Altun |
| 10:05 | Spectral and Graphical Models for Graph Matching
T. Caelli and T. Caetano |
| 10:30 | discussion |
| 16:00 | Decentralized Detection and Marginalized Kernels
X. Nguyen, M. J. Wainwright and M. I. Jordan |
| 16:25 | Sparse Multi Gaussian Process Methods
M. Seeger |
| 16:50 | Modified Maximum Margin Markov Networks
F. Perez-Cruz, Z. Ghahramani and M. Pontil |
| 17:15 | coffee break |
| 17:35 | Graphical Object Models for Detection and Tracking
L. Sigal |
| 18:00 | Max-Margin Associative Markov nets for 3D vision
B. Taskar |
| 18:25 | Large Margin Latent Graphical Models
T. Jebara |
| 18:50 | Closing remarks
A. J. Smola, S V N Vishwanathan and B. Taskar |
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