Publications

2006

Mcauliffe, J., Blei D., & Jordan M. (2006).  Non parametric empirical Bayes for the Dirichlet process mixture model. Statistics and Computing. 16, 5-14.
Wainwright, M. J., & Jordan M. I. (2006).  Log-determinant relaxation for approximate inference in discrete Markov random field. Signal Processing, IEEE Transactions on. 54, 2099-2109.
Bartlett, P. L., Jordan M. I., & McAuliffe J. D. (2006).  Convexity, classification, and risk bounds. Journal of the American Statistical Association. 138-156.
Bach, F. R., & Jordan M. I. (2006).  Learning Spectral Clustering, WIth Application To Speech Separation. Journal of Machine Learning Research 7. Abstract
Teh, Y. W., Jordan M. I., Beal M. J., & Blei D. M. (2006).  Hierarchical Dirichlet processes. Journal of the American Statistical Association. 101, 1566-1581. Abstract
Blei, D. M., Franks K., Jordan M. I., & Mian I. S. (2006).  Statistical modeling of biomedical corpora: mining the Caenorhabditis Genetic Center Bibliography for genes related to life span. BMC Bioinformatics.
Yu, F., Katz R., & Lakshman T. (2006).  Efficient Multi-Match Packet Classification for Network Security Applications. IEEE Journal on Selected Areas in Communications. 24, Abstract
Taskar, B., Lacoste-Julien S., & Jordan M. I. (2006).  Structured Prediction, Dual Extragradient and Bregman Projections. Journal of Machine Learning Research 7. 1627-1653.

2005

Yin, L., Uttamchadani S., Porter J., & Katz R. (2005).  AUTOLOOP: Automated Action Selection in the "Observe-Analyze-Act" Loop for Storage Systems. Sixth IEEE International Workshop on Policies for Distributed Systems and Networks. 129-138. Abstract