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Statistics and Data Science Seminar Series Bin Yu

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Statistics and Data Science Seminar Series Mark Rudelson

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Statistics and Data Science Seminar Series Mikhail Belkin

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Statistics and Data Science Seminar Series Arian Maleki

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Statistics and Data Science Seminar Series Sourav Chatterjee

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Statistics and Data Science Seminar Series Po-Ling Loh

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Theory to gain insight and inform practice: re-run of IMS Rietz Lecture, 2016

Bin Yu (University of California, Berkeley)
E18-304

The Stochastics and Statistics Seminar is a weekly meeting organized by the Statistics and Data Science Center (SDSC). It consists of a series of one-hour presentations by worldwide leaders making cutting edge contributions to methodological and theoretical advances in data science. These fields include probability, statistics, optimization, and applied mathematics. The seminar also regularly features…

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Invertibility and Condition Number of Sparse Random Matrices

Mark Rudelson (University of Michigan)
E18-304

The Stochastics and Statistics Seminar is a weekly meeting organized by the Statistics and Data Science Center (SDSC). It consists of a series of one-hour presentations by worldwide leaders making cutting edge contributions to methodological and theoretical advances in data science. These fields include probability, statistics, optimization, and applied mathematics. The seminar also regularly features…

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Eigenvectors of Orthogonally Decomposable Functions and Applications

Mikhail Belkin (UT Austin)
E18-304

The Stochastics and Statistics Seminar is a weekly meeting organized by the Statistics and Data Science Center (SDSC). It consists of a series of one-hour presentations by worldwide leaders making cutting edge contributions to methodological and theoretical advances in data science. These fields include probability, statistics, optimization, and applied mathematics. The seminar also regularly features…

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On The Asymptotic Performance of fq-regularized LeastSquares

Arian Maleki (Columbia University)
E18-304

The Stochastics and Statistics Seminar is a weekly meeting organized by the Statistics and Data Science Center (SDSC). It consists of a series of one-hour presentations by worldwide leaders making cutting edge contributions to methodological and theoretical advances in data science. These fields include probability, statistics, optimization, and applied mathematics. The seminar also regularly features…

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Matrix estimation by Universal Singular Value Thresholding

Sourav Chatterjee (Stanford University)
E18-304

The Stochastics and Statistics Seminar is a weekly meeting organized by the Statistics and Data Science Center (SDSC). It consists of a series of one-hour presentations by worldwide leaders making cutting edge contributions to methodological and theoretical advances in data science. These fields include probability, statistics, optimization, and applied mathematics. The seminar also regularly features…

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Stochastics and Statistics Seminar Series

Po-Ling Loh (University of Pennsylvania)
E18-304

The Stochastics and Statistics Seminar is a weekly meeting organized by the Statistics and Data Science Center (SDSC). It consists of a series of one-hour presentations by worldwide leaders making cutting edge contributions to methodological and theoretical advances in data science. These fields include probability, statistics, optimization, and applied mathematics. The seminar also regularly features…

Find out more »


MIT Institute for Data, Systems, and Society
Massachusetts Institute of Technology
77 Massachusetts Avenue
Cambridge, MA 02139-4307
617-253-1764