Publications
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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
Nguyen, X., M. Wainwright, & M. Jordan
(2007). Nonparametric Estimation of the Likelihood Ratio and Divergence Functionals.
International Symposium on Information Theory (ISIT).
Mcauliffe, J., D. Blei, & M. Jordan
(2006). Non parametric empirical Bayes for the Dirichlet process mixture model.
Statistics and Computing. 16, 5-14.