| 7:30 |
Opening remarks, A. J. Smola, S. V. N. Vishwanathan and B. Taskar |
| 7:40 |
Kernel Methods for Missing Variables, A. J. Smola, 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 |