Publications
Export 16 results:
Liang, P., D. Klein, & M. I. Jordan
(2008). Agreement-based learning.
Advances in Neural Information Processing Systems (NIPS).
Obozinski, G., C. E. Grant, G. R. G. Lanckriet, M. I. Jordan, & W. W. Noble
(2008). Consistent probabilistic outputs for protein function prediction.
Genome Biology.
Obozinski, G., C. E. Grant, G. R. G. Lanckriet, M. I. Jordan, & W. W. Noble
(2008). Consistent probabilistic outputs for protein function prediction.
Genome Biology.
Liang, P., M. I. Jordan, & D. Klein
(2008). Probabilistic grammars and hierarhical Dirichlet processes.
The Handbook of APplied Bayesian Analysis.
Obozinski, G., M. J. Wainwright, M. I. Jordan, D. Koller, Y. Bengio, D. Schuurmans, et al.
(2008). High-dimensional union support recovery in multivariate regression.
Advances in Neural Information Processing Systems (NIPS).
Thibaux, R., & M. I. Jordan
(2007). Hierarchical beta processes and the Indian buffet process.
Artificial Intelligence and Statistics (AISTATS).
Huang, L., X. Nguyen, M. Garofalakis, M. I. Jordan, A. Joseph, & N. Taft
(2007). In-network PCA and anomaly detection.
Advances in Neural Information Processing Systems (NIPS).
Huang, L., X. Nguyen, M. Garofalakis, J. M. Hellerstein, M. I. Jordan, A. Joseph, et al.
(2007). Communication-efficient online detection of network-wide anomalies.
26th Annual IEEE Conference on Computer Communications (INFOCOM'07). 134-142.
Xing, E. P., K. A. Sohn, M. I. Jordan, & Y. W. Teh
(2006). Bayesian multi-population haplotype inference via a hierarchical dirichlet process mixture.
ACM INternational Conference Proceeding. 148, 1049-1056.
Zheng, A. X., M. I. Jordan, B. Libit, M. Naik, & A. Aiken
(2006). Statistical debugging: simultaneous identification of multiple bugs.
23rd International Conference on Machine Learning. 148, 1105-1112.
Taskar, B., S. Lacoste-Julien, & M. I. Jordan
(2006). Structured Prediction via the Extragradient.
Advances in Neural Information Processing Systems (NIPS) 18, 2006.
Teh, Y. W., M. I. Jordan, M. J. Beal, & D. M. Blei
(2006). Hierarchical Dirichlet processes.
Journal of the American Statistical Association. 101, 1566-1581. Abstract
Taskar, B., S. Lacoste-Julien, & M. I. Jordan
(2006). Structured Prediction, Dual Extragradient and Bregman Projections.
Journal of Machine Learning Research 7. 1627-1653.
Wainwright, M. J., & M. I. Jordan
(2006). Log-determinant relaxation for approximate inference in discrete Markov random field.
Signal Processing, IEEE Transactions on. 54, 2099-2109.
Bartlett, P. L., M. I. Jordan, & J. D. McAuliffe
(2006). Convexity, classification, and risk bounds.
Journal of the American Statistical Association. 138-156.