Oregon State University



Event Details

Milne Lecture Series in Mathematics, Statistics, and Computer Science

Milne Technical Lecture

Wednesday, May 17, 2017 10:00 AM - 11:00 AM

Milne Lecture Series in Mathematics, Statistics, and Computer Science

MICHAEL I. JORDAN, Pehong Chen Distinguished Professor

UC Berkeley Departments of Statistics and Computer Science

Technical Lecture

Wednesday, May 17, 10:00 a.m.

Dearborn 118

Title: Communication-Avoiding Statistical Inference


Modern data analysis increasingly takes place on distributed computing platforms. In the distributed setting, procedures that minimize communication among processors can be orders-of- magnitude faster than naive procedures. This fact has revolutionized numerical linear algebra, but it has yet to have significant impact on the inferential sciences. I discuss communication-avoiding approaches to inference, including a novel form of the bootstrap, a primal-dual approach to distributed optimization, a communication- efficient surrogate likelihood framework and distributed forms of false discovery rate control. 


Michael I. Jordan is the Pehong Chen Distinguished Professor in the Department of Electrical Engineering and Computer Science and the Department of Statistics at the University of California, Berkeley. He received his Master’s in Mathematics from Arizona State University, and earned his PhD in Cognitive Science in 1985 from the University of California,  San Diego. He was a professor at MIT from 1988 to 1998.

His research interests bridge the computational, statistical,  cognitive  and biological  sciences, and have focused in recent years on Bayesian nonparametric analysis, probabilistic  graphical models, spectral methods, kernel machines and applications to problems in distributed computing systems, natural languageprocessing, signal processing and statistical genetics. Prof. Jordan is a member of the National Academyof Sciences, a member of the National Academy of Engineering and a member of the American Academy of Arts and Sciences. He is a Fellow of the American Association for the Advancement of Science. He has been named a Neyman Lecturer and a Medallion Lecturer by the Institute of Mathematical Statistics. He received the IJCAI Research Excellence Award in 2016, the David E. Rumelhart Prize in 2015 and the ACM/AAAI Allen Newell Award in 2009. He is a Fellow of the AAAI, ACM, ASA, CSS, IEEE, IMS, ISBA and SIAM.

Free and open to the public

Accommodations for disabilities may be made by contacting 541-737-3617.


Dearborn Hall (campus map)
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