Interesting Papers in NIPS 2008

1. E. Sudderth, M. Jordan. Shared Segmentation of Natural Scenes Using Dependent Pitman-Yor Processes.
   I am interested in how Pitman-Yor process is able to model power-lay data.
   
   
2. Amit Gruber, Michal Rosen-Zvi and Yair Weiss. Latent Topic Models for Hypertext.
   Topic model describes the generation of hyperlinks between document pairs.
   
   
3. Simon Lacoste-Julien, Fei Sha and Michael I. Jordan. DiscLDA: Discriminative Learning for
   Dimensionality Reduction and Classification.
   I am not yet quiet clear with how the linear translations were introduced in this Bayesian modeling approach.