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Theoretical Foundations of Big Data Analysis
Thursday, Aug. 22
–
Friday, Dec. 20, 2013
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Programs & Events
Theoretical Foundations of Big Data Analysis
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The Program
Workshops
(active tab)
Big Data Boot Camp
Tuesday, Sept. 3
–
Friday, Sept. 6, 2013
Big Data Boot Camp
Michael Jordan
(UC Berkeley)
Succinct Data Representations and Applications
Monday, Sept. 16
–
Thursday, Sept. 19, 2013
Succinct Data Representations and Applications
Petros Drineas
(Purdue University; chair)
Francis Bach
(INRIA and École Normale Supérieure Paris)
Peter Bühlmann
(ETH Zürich)
Emmanuel Candès
(Stanford University)
Piotr Indyk
(Massachusetts Institute of Technology)
Ravi Kannan
(Simons Institute, UC Berkeley)
Muthu Muthukrishnan
(Rutgers University and Microsoft Research India)
Robert Nowak
(University of Wisconsin-Madison)
Stephen Wright
(University of Wisconsin-Madison)
Parallel and Distributed Algorithms for Inference and Optimization
Monday, Oct. 21
–
Thursday, Oct. 24, 2013
Parallel and Distributed Algorithms for Inference and Optimization
Michael Mahoney
(International Computer Science Institute and UC Berkeley; chair)
Guy Blelloch
(Carnegie Mellon University)
John Gilbert
(UC Santa Barbara)
Chris Ré
(Stanford University)
Martin Wainwright
(MIT)
Unifying Theory and Experiment for Large-Scale Networks
Monday, Nov. 18
–
Thursday, Nov. 21, 2013
Unifying Theory and Experiment for Large-Scale Networks
Michael Kearns
(University of Pennsylvania; co-chair)
Jennifer Neville
(Purdue University; co-chair)
Deepak Agarwal
(LinkedIn)
Edo Airoldi
(Harvard University)
Ashish Goel
(Stanford University)
Matt Jackson
(Stanford University)
Big Data and Differential Privacy
Wednesday, Dec. 11
–
Saturday, Dec. 14, 2013
Big Data and Differential Privacy
Kunal Talwar
(Apple Inc; chair)
Avrim Blum
(Toyota Technological Institute at Chicago)
Kamalika Chaudhuri
(UC San Diego)
Cynthia Dwork
(Harvard University)
Michael Jordan
(UC Berkeley)
Big Data Reunion Workshop
Monday, Dec. 15
–
Wednesday, Dec. 17, 2014
Big Data Reunion Workshop
Michael Jordan
(UC Berkeley)
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Participate
Apply to Participate
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