Michael I. Jordan

Tree-dependent Component Analysis

Francis R. Bach, Michael I. Jordan

Comments Appears in Proceedings of the Eighteenth Conference on Uncertainty in Artificial Intelligence (UAI2002)

A Generalized Mean Field Algorithm for Variational Inference in Exponential Families

Eric P. Xing, Michael I. Jordan, Stuart Russell

Comments Appears in Proceedings of the Nineteenth Conference on Uncertainty in Artificial Intelligence (UAI2003)

Ergodic Mirror Descent

John C. Duchi, Alekh Agarwal, Mikael Johansson, Michael I. Jordan

Comments 35 pages, 2 figures

Graph partition strategies for generalized mean field inference

Eric P. Xing, Michael I. Jordan, Stuart Russell

Comments Appears in Proceedings of the Twentieth Conference on Uncertainty in Artificial Intelligence (UAI2004)

Bayesian Multicategory Support Vector Machines

Zhihua Zhang, Michael I. Jordan

Comments Appears in Proceedings of the Twenty-Second Conference on Uncertainty in Artificial Intelligence (UAI2006)

A Scalable Bootstrap for Massive Data

Ariel Kleiner, Ameet Talwalkar, Purnamrita Sarkar, Michael I. Jordan

The Phylogenetic Indian Buffet Process: A Non-Exchangeable Nonparametric Prior for Latent Features

Kurt T. Miller, Thomas Griffiths, Michael I. Jordan

Comments Appears in Proceedings of the Twenty-Fourth Conference on Uncertainty in Artificial Intelligence (UAI2008)

Revisiting k-means: New Algorithms via Bayesian Nonparametrics

Brian Kulis, Michael I. Jordan

Comments 14 pages. Updated based on the corresponding ICML paper

Optimization of Structured Mean Field Objectives

Alexandre Bouchard-Cote, Michael I. Jordan

Comments Appears in Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence (UAI2009)

EP-GIG Priors and Applications in Bayesian Sparse Learning

Zhihua Zhang, Shusen Wang, Dehua Liu, Michael I. Jordan

Comments 33 pages, 10 figures

The Stick-Breaking Construction of the Beta Process as a Poisson Process

John Paisley, David Blei, Michael I. Jordan

Comments We've updated with the conference version of the paper. Please note that the title has changed

Coherence Functions with Applications in Large-Margin Classification Methods

Zhihua Zhang, Guang Dai, Michael I. Jordan

Comments 28 pages

Modeling Events with Cascades of Poisson Processes

Aleksandr Simma, Michael I. Jordan

Comments Appears in Proceedings of the Twenty-Sixth Conference on Uncertainty in Artificial Intelligence (UAI2010)

Joint Modeling of Multiple Related Time Series via the Beta Process

Emily B. Fox, Erik B. Sudderth, Michael I. Jordan, Alan S. Willsky

Comments 33 pages, 8 figures

Learning Dependency-Based Compositional Semantics

Percy Liang, Michael I. Jordan, Dan Klein

Beta processes, stick-breaking, and power laws

Tamara Broderick, Michael I. Jordan, Jim Pitman

Comments 37 pages, 11 figures

Bayesian inference for queueing networks and modeling of internet services

Charles Sutton, Michael I. Jordan

Comments Published in at http://dx.doi.org/10.1214/10-AOAS392 the Annals of Applied Statistics (http://www.imstat.org/aoas/) by the Institute of Mathematical Statistics (http://www.imstat.org)

Journal ref Annals of Applied Statistics 2011, Vol. 5, No. 1, 254-282

Support union recovery in high-dimensional multivariate regression

Guillaume Obozinski, Martin J. Wainwright, Michael I. Jordan

Comments Published in at http://dx.doi.org/10.1214/09-AOS776 the Annals of Statistics (http://www.imstat.org/aos/) by the Institute of Mathematical Statistics (http://www.imstat.org)

Journal ref Annals of Statistics 2011, Vol. 39, No. 1, 1-47

Multiway Spectral Clustering: A Margin-Based Perspective

Zhihua Zhang, Michael I. Jordan

Comments Published in at http://dx.doi.org/10.1214/08-STS266 the Statistical Science (http://www.imstat.org/sts/) by the Institute of Mathematical Statistics (http://www.imstat.org)

Journal ref Statistical Science 2008, Vol. 23, No. 3, 383-403

Leo Breiman

Michael I. Jordan

Comments Published in at http://dx.doi.org/10.1214/10-AOAS387 the Annals of Applied Statistics (http://www.imstat.org/aoas/) by the Institute of Mathematical Statistics (http://www.imstat.org)

Journal ref Annals of Applied Statistics 2010, Vol. 4, No. 4, 1642-1643

Heavy-Tailed Processes for Selective Shrinkage

Fabian L. Wauthier, Michael I. Jordan

Comments 10 pages, 4 figures, submitted for publication

Tree-Structured Stick Breaking Processes for Hierarchical Data

Ryan Prescott Adams, Zoubin Ghahramani, Michael I. Jordan

Comments 16 pages, 5 figures, submitted

On surrogate loss functions and $f$-divergences

XuanLong Nguyen, Martin J. Wainwright, Michael I. Jordan

Comments Published in at http://dx.doi.org/10.1214/08-AOS595 the Annals of Statistics (http://www.imstat.org/aos/) by the Institute of Mathematical Statistics (http://www.imstat.org)

Journal ref Annals of Statistics 2009, Vol. 37, No. 2, 876-904

The nested Chinese restaurant process and Bayesian nonparametric inference of topic hierarchies

David M. Blei, Thomas L. Griffiths, Michael I. Jordan

Kernel dimension reduction in regression

Kenji Fukumizu, Francis R. Bach, Michael I. Jordan

Comments Published in at http://dx.doi.org/10.1214/08-AOS637 the Annals of Statistics (http://www.imstat.org/aos/) by the Institute of Mathematical Statistics (http://www.imstat.org)

Journal ref Annals of Statistics 2009, Vol. 37, No. 4, 1871-1905

Comment on "Support Vector Machines with Applications"

Peter L. Bartlett, Michael I. Jordan, Jon D. McAuliffe

Comments Published at http://dx.doi.org/10.1214/088342306000000475 in the Statistical Science (http://www.imstat.org/sts/) by the Institute of Mathematical Statistics (http://www.imstat.org)

Journal ref Statistical Science 2006, Vol. 21, No. 3, 341-346

A direct formulation for sparse PCA using semidefinite programming

Alexandre d'Aspremont, Laurent El Ghaoui, Michael I. Jordan, Gert R. G. Lanckriet

Comments Final version, to appear in SIAM review

Subtree power analysis finds optimal species for comparative genomics

Jon D. McAuliffe, Michael I. Jordan, Lior Pachter

Comments 16 pages, 3 figures, 3 tables