Schedule

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