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First name:	Michael I.
Last name:	Jordan
DBLP:	j/MichaelIJordan
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	Journal article Sekhar Tatikonda, Michael I. Jordan. Loopy Belief Propogation and Gibbs Measures	CoRR 2013, Volume 0	(0)	2013
	Journal article Nando de Freitas, Pedro A. d. F. R. Højen-Sørensen, Michael I. Jordan, Stuart J. Russell. Variational MCMC	CoRR 2013, Volume 0	(0)	2013
	Journal article Francis R. Bach, Michael I. Jordan. Tree-dependent Component Analysis	CoRR 2013, Volume 0	(0)	2013
	Journal article Andrew Y. Ng, Michael I. Jordan. PEGASUS: A Policy Search Method for Large MDPs and POMDPs	CoRR 2013, Volume 0	(0)	2013
	Journal article Neil D. Lawrence, Christopher M. Bishop, Michael I. Jordan. Mixture Representations for Inference and Learning in Boltzmann Machines	CoRR 2013, Volume 0	(0)	2013
	Journal article Amol Deshpande, Minos N. Garofalakis, Michael I. Jordan. Efficient Stepwise Selection in Decomposable Models	CoRR 2013, Volume 0	(0)	2013
	Conference paper Kevin P. Murphy, Yair Weiss, Michael I. Jordan. Loopy Belief Propagation for Approximate Inference: An Empirical Study	CoRR 2013, Volume 0	(0)	2013
	Journal article Tommi Jaakkola, Michael I. Jordan. Computing Upper and Lower Bounds on Likelihoods in Intractable Networks	CoRR 2013, Volume 0	(0)	2013
	Journal article John C. Duchi, Michael I. Jordan, Martin J. Wainwright. Local Privacy and Statistical Minimax Rates	CoRR 2013, Volume 0	(0)	2013
	Journal article Ameet Talwalkar, Lester W. Mackey, Yadong Mu, Shih-Fu Chang, Michael I. Jordan. Divide-and-Conquer Subspace Segmentation	CoRR 2013, Volume 0	(0)	2013
	Conference paper Tim Kraska, Ameet Talwalkar, John C. Duchi, Rean Griffith, Michael J. Franklin, Michael I. Jordan. MLbase: A Distributed Machine-learning System.	CIDR 2013, Sixth Biennial Conference on Innovative Data Systems Research, Asilomar, CA, USA, January 6-9, 2013, Online Proceedings 2013	(0)	2013
	Journal article Paul Lukowicz, Sanjiv Nanda, Vidya Narayanan, Hal Albelson, Deborah L. McGuinness, Michael I. Jordan. Qualcomm Context-Awareness Symposium Sets Research Agenda for Context-Aware Smartphones.	IEEE Pervasive Computing 2012, Volume 11	(0)	2012
	Journal article John William Paisley, David M. Blei, Michael I. Jordan. Stick-Breaking Beta Processes and the Poisson Process.	Journal of Machine Learning Research - Proceedings Track 2012, Volume 22	(0)	2012
	Conference paper Fabian L. Wauthier, Nebojsa Jojic, Michael I. Jordan. Active spectral clustering via iterative uncertainty reduction.	The 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD '12, Beijing, China, August 12-16, 2012 2012	(0)	2012
	Conference paper Michael I. Jordan. Divide-and-conquer and statistical inference for big data.	The 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD '12, Beijing, China, August 12-16, 2012 2012	(0)	2012
	Conference paper Michal Rosen-Zvi, Michael I. Jordan, Alan L. Yuille. The DLR Hierarchy of Approximate Inference	CoRR 2012, Volume 0	(0)	2012
	Journal article Barzan Mozafari, Purnamrita Sarkar, Michael J. Franklin, Michael I. Jordan, Samuel Madden. Active Learning for Crowd-Sourced Databases	CoRR 2012, Volume 0	(0)	2012
	Conference paper Aleksandr Simma, Michael I. Jordan. Modeling Events with Cascades of Poisson Processes	CoRR 2012, Volume 0	(0)	2012
	Conference paper Eric P. Xing, Michael I. Jordan, Stuart J. Russell. Graph partition strategies for generalized mean field inference	CoRR 2012, Volume 0	(0)	2012
	Conference paper Alexandre Bouchard-Côté, Michael I. Jordan. Optimization of Structured Mean Field Objectives	CoRR 2012, Volume 0	(0)	2012
	Conference paper John C. Duchi, Lester W. Mackey, Michael I. Jordan. The Asymptotics of Ranking Algorithms	CoRR 2012, Volume 0	(0)	2012
	Conference paper Kurt T. Miller, Thomas L. Griffiths, Michael I. Jordan. The Phylogenetic Indian Buffet Process: A Non-Exchangeable Nonparametric Prior for Latent Features	CoRR 2012, Volume 0	(0)	2012
	Journal article John William Paisley, Chong Wang, David M. Blei, Michael I. Jordan. Nested Hierarchical Dirichlet Processes	CoRR 2012, Volume 0	(0)	2012
	Journal article John C. Duchi, Michael I. Jordan, Martin J. Wainwright. Privacy Aware Learning	CoRR 2012, Volume 0	(0)	2012
	Journal article Venkat Chandrasekaran, Michael I. Jordan. Computational and Statistical Tradeoffs via Convex Relaxation	CoRR 2012, Volume 0	(0)	2012

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