Tutorials 
Michael Lewicki: Sensory Coding and Hierarchical Representations
Ben Taskar: Structured Prediction

Invited Talks
Luis von Ahn: Human Computation
Mark Handcock: Statistical Models for Social Networks with Application to HIV Epidemiology
David Heckerman: Graphical models for HIV vaccine design and genome-wide association studies 
Elizabeth Spelke: Core Knowledge of Number and Geometry 

Poster Sessions:
Monday
43 A. Kulesza, F. Pereira: Structured Learning with Approximate Inference
?? E. Sudderth, M. Wainwright, A. Willsky: Loop Series and Bethe Variational Bounds in Attractive Graphical Models
39 X. Nguyen, M. Wainwright and M. Jordan: Estimating divergence functionals and the likelihood ratio by penalized convex risk minimization

Tuesday
54 Y. Teh, K. Kurihara, M. Welling: Collapsed Variational Inference for HDP
56 M. Welling, I. Porteous, E. Bart: Infinite State Bayes-Nets for Structured Domains
57 M. Titsias: The Infinite Gamma-Poisson Feature Model
61 T. van Erven, P. Grunwald, S. de Rooij: Catching Up Faster in Bayesian Model Selection and Model Averaging
55 Distributed Inference for Latent Dirichlet Allocation

Wednesday
11 Y. Teh, H. Daume III, D. Roy: Bayesian Agglomerative Clustering with Coalescents
24 D. Mochihashi, E. Sumita: The Infinite Markov Model
33 M. Frank, N. Goodman, J. Tenenbaum: A Bayesian Framework for Cross-Situational Word-Learning

WorkShop:
Approximate Bayesian Inference in Continuous/Hybrid Systems
Statistical Network models