Long Nguyen Assistant Professor, Department of Statistics, Dept of Electrical Engineering and Computer Science (by courtesy), University of Michigan Ph.D, UC Berkeley, 2007 Email: xuanlong@umich.edu Office: 456 West Hall, Phone: 734-763-3499, Fax: 734-763-4676 Mail Address: 439 West Hall, 1085 South University, Ann Arbor, MI 48109-1107

[Publications] [Research] [Students] [Teaching]

• Dept of Statistics Seminar Series
• Statistical machine learning reading group
• MSL Talks: Michigan Statistical Learning Talks

Research interests

• Variational and decentralized statistical inference
• Nonparametric Bayesian statistics
• Learning in networks and distributed systems
• Learning with images, signals, and texts; with spatio-temporal and functional data

Preprints and selected papers: Click here for list of publications

• Borrowing strength in hierarchical Bayes: convergence of the Dirichlet base measure. X. Nguyen. Technical Report No. 532, Department of Statistics, University of Michigan, January 2013.
• Posterior contraction of the population polytope in finite admixture models. X. Nguyen. Technical Report No. 528, Department of Statistics, University of Michigan, May 2012.

• Sequential detection of multiple change points in networks: A graphical model approach. A. Amini and X. Nguyen. IEEE Transactions on Information Theory, to appear (2013).
• Convergence of latent mixing measures in finite and infinite mixture models . X. Nguyen. Annals of Statistics, 41(1), 370--400, 2013. [arXiv:1109.3250 ]
• The Dirichlet labeling process for clustering functional data. X. Nguyen and A. E. Gelfand. Statistica Sinica 21(3), 1249-1289, 2011.
• Inference of global clusters from locally distributed data. X. Nguyen. Bayesian Analysis, 5(4), 817--846, 2010.
• Estimating divergence functionals and the likelihood ratio by convex risk minimization. X. Nguyen, M. J. Wainwright and M. I. Jordan. IEEE Transactions on Information Theory, 56(11), 5847--5861, 2010.
• On surrogate loss functions and f-divergences. X. Nguyen, M. J. Wainwright and M.I. Jordan. Annals of Statistics, 37(2), 876--904, 2009.
• On optimal quantization rules in some problems in sequential decentralized detection. X. Nguyen, M. J. Wainwright and M. I. Jordan. IEEE Transactions on Information Theory, 54(7), 3285--3295, 2008.
• Nonparametric decentralized detection using kernel methods. X. Nguyen, M. J. Wainwright and M. I. Jordan. IEEE Transactions on Signal Processing, 53(11), 4053--4066, 2005.
• A kernel-based learning approach to ad hoc sensor network localization. X. Nguyen, M. I. Jordan and B. Sinopoli. ACM Transactions on Sensor Networks, 1, 134--152, 2005.

Selected talk slides

• Convergence of latent mixing measures in finite and infinite mixture models. Bayesian Nonparametrics Workshop at ICERM, Providence, September 2012.
• Clustering problems, mixture models and Bayesian nonparametrics. VIASM Summer School, Hanoi, July 2012. [Slides 1 ] [Notes 2 ]
• Message-passing sequential detection of multiple change points in networks. IEEE Symposium on Information Theory, Boston, July 2012.
• Inference of functional clusters from non-functional data . Midwest Statistics Research Colloquium, Madison, March 2012.
• Dirichlet labeling and hierarchical processes for clustering functional data . IMS-China Conference, Xi'an, July 2011.
• Decentralized decision making with spatially distributed data . AI Seminar, University of Michigan, Oct 2009.
• Surrogate loss functions, divergences and decentralized detection. Thesis talk, UC Berkeley, May 2007.
• Anomaly and sequential detection with time series data . Tutorial lectures given at Berkeley, 2006.

Students and Postdoctoral Scholars

• Arash Ali Amini (Postdoctoral fellow)
• Nhat Minh Ho
• Vijay Manikandan Janakiraman (joint with Dennis Assanis)
• Hossein Keshavarz (joint with Clay Scott)
• Zhaoshi Meng (joint with Al Hero)

• Kohinoor Dasgupta (PhD 2012, joint with Vijay Nair and Stilian Stoev; Senior Biostatistician, Novartis India)
• Cen Guo (PhD 2012, joint with Tailen Hsing; Senior Analyst, United Airlines, Chicago)
• Hyun-Chul Kim (Postdoc 2011; Research Professor, Yonsei University, Korea)
• Bopeng Li (MS 2012; in Statistics PhD program, University of Michigan)

Links

• Pointers on nonparametric Bayesian statistics Collected by Peter Orbanz
• STATMOS: Research Network for Statistical Methods for Atmotspheric and Oceanic Sciences
• Lexicon in probability, statistics and machine learning: Xác suất, thống kê và học máy (in Vietnamese)
• Modern statistical methods in machine learning Vietnam Institute for Advanced Study in Mathematics, Summer 2012