Export 7 results:
Thibaux, R., & M. Jordan (2007).  Hierarchical beta processes and the Indian buffet process. 11th Conference on Artificial Intelligence and Statistics (AISTAT). Abstract
Liang, P., S. Petrov, D. Klein, & M. Jordan (2007).  The infinite PCFG using Dirichlet processes. Empirical Methods in Natural Language Processing (EMNLP).
Liang, P., M. Jordan, & B. Taskar (2007).  A Permutation-Augmented Sampler For DP Mixture Models. International Conference on Machine Learning (ICML). 545-552.
Nilsson, J., F. Sha, & M. Jordan (2007).  Regression on manifolds using kernel dimension reduction. 24th International Conference on Machine Learning (ICML). 697-704.
Kivenen, J., E. Sudderth, & M. Jordan (2007).  Image Denoising With Nonparametric Hidden Markov Trees. IEEE International Conference on Image Processing (ICIP). Abstract