Publications
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Sutton, Charles, & Michael I. Jordan
(2008). Probabilistic Inference in Queueing Networks.
In Workshop on Tackling Computer Systems Problems with Machine Learning Techniques (SysML). Abstract
Lacoste-Julien, Simon, Fei Sha, & Michael I. Jordan
(2008). Discriminative learning for dimensionality reduction and classification.
Neural Information Processing Systems (NIPS'08). Abstract
Liang, Percy, Slav Petrov, Michael I. Jordan, & Dan Klein
(2007). The infinite PCFG using Hierarchical Dirichlet Processes.
Empirical Methods in Natural Language Processing.
Liang, Percy, Michael I. Jordan, & Ben Taskar
(2007). A permutation-agumented sampler for DP mixture models.
24th International COnference on Machine Learning. 545-552.
Bodik, Peter, Armando Fox, Michael I. Jordan, Dave Patterson, A. Banerjee, R. Jagannathan, et al.
(2006). Advanced tools for operators at Amazon.com.
First Workshop on Hot Topics in Autonomic Computing (HotAC).
Lacoste-Julien, Simon, Ben Taskar, Dan Klein, & Michael I. Jordan
(2006). Word alignment via quadratic assignment.
Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics. 112-119.
Bach, Francis R., & Michael I. Jordan
(2006). Learning Spectral Clustering, WIth Application To Speech Separation.
Journal of Machine Learning Research 7. Abstract