Publications
Export 18 results:
Huang, L., D. Yan, M. I. Jordan, and N. Taft,
"spectral clustering with perturbed data",
Advances in Neural Information Processing Systems (NIPS), In Press.
Huang, L., D. Yan, M. I. Jordan, and N. Taft,
"spectral clustering with perturbed data",
Advances in Neural Information Processing Systems (NIPS), In Press.
Liang, P., D. Klein, and M. I. Jordan,
"Agreement-based learning",
Advances in Neural Information Processing Systems (NIPS), 2008.
Obozinski, G., C. E. Grant, G. R. G. Lanckriet, M. I. Jordan, and W. W. Noble,
"Consistent probabilistic outputs for protein function prediction",
Genome Biology, 2008.
Obozinski, G., C. E. Grant, G. R. G. Lanckriet, M. I. Jordan, and W. W. Noble,
"Consistent probabilistic outputs for protein function prediction",
Genome Biology, 2008.
Liang, P., M. I. Jordan, and D. Klein,
"Probabilistic grammars and hierarhical Dirichlet processes",
The Handbook of APplied Bayesian Analysis: Oxford University Press, 2008.
Obozinski, G., M. J. Wainwright, M. I. Jordan, D. Koller, Y. Bengio, D. Schuurmans, and L. Bottou,
"High-dimensional union support recovery in multivariate regression",
Advances in Neural Information Processing Systems (NIPS), 2008.
Huang, L., X. Nguyen, M. Garofalakis, M. I. Jordan, A. Joseph, and N. Taft,
"In-network PCA and anomaly detection",
Advances in Neural Information Processing Systems (NIPS), 2007.
Thibaux, R., and M. I. Jordan,
"Hierarchical beta processes and the Indian buffet process",
Artificial Intelligence and Statistics (AISTATS), 2007.
Huang, L., X. Nguyen, M. Garofalakis, J. M. Hellerstein, M. I. Jordan, A. Joseph, and N. Taft,
"Communication-efficient online detection of network-wide anomalies",
26th Annual IEEE Conference on Computer Communications (INFOCOM'07), pp. 134-142, 05-2007.
Taskar, B., S. Lacoste-Julien, and M. I. Jordan,
"Structured Prediction via the Extragradient",
Advances in Neural Information Processing Systems (NIPS) 18, 2006, 2006.
Zheng, A. X., M. I. Jordan, B. Libit, M. Naik, and A. Aiken,
"Statistical debugging: simultaneous identification of multiple bugs",
23rd International Conference on Machine Learning, vol. 148, Pittsburgh, PA, ACM, pp. 1105-1112, 2006.
Xing, E. P., K. A. Sohn, M. I. Jordan, and Y. W. Teh,
"Bayesian multi-population haplotype inference via a hierarchical dirichlet process mixture",
ACM INternational Conference Proceeding, vol. 148: ACM, pp. 1049-1056, 2006.
Teh, Y. W., M. I. Jordan, M. J. Beal, and D. M. Blei,
"Hierarchical Dirichlet processes",
Journal of the American Statistical Association, vol. 101, pp. 1566-1581, 11/2005, 2006.
Abstract
Taskar, B., S. Lacoste-Julien, and M. I. Jordan,
"Structured Prediction, Dual Extragradient and Bregman Projections",
Journal of Machine Learning Research 7, pp. 1627-1653, 07/2006.
Wainwright, M. J., and M. I. Jordan,
"Log-determinant relaxation for approximate inference in discrete Markov random field",
Signal Processing, IEEE Transactions on, vol. 54, no. 6, pp. 2099-2109, 06/2006.
Bartlett, P. L., M. I. Jordan, and J. D. McAuliffe,
"Convexity, classification, and risk bounds",
Journal of the American Statistical Association, pp. 138-156, 06/2005, 2006.