MMDS. Workshop on Algorithms for Modern Massive Data Sets

The Workshops on Algorithms for Modern Massive Data Sets (MMDS) will address algorithmic, mathematical, and statistical challenges in modern large-scale data analysis. The goals of this series of workshops are to explore novel techniques for modeling and analyzing massive, high-dimensional, and nonlinearly-structured scientific and internet data sets, and to bring together computer scientists, statisticians, mathematicians, and data analysis practitioners to promote cross-fertilization of ideas.

News

Watch out for:

MMDS 2010. Workshop on Algorithms for Modern Massive Data Sets
Stanford University
June 15–18, 2010
Organizing Committee: Michael Mahoney (chair), Lek-Heng Lim, Alex Shkolnik, Petros Drineas, Gunnar Carlsson
Details coming soon!

MMDS 2006

MMDS 2008

Organizers

Other MMDS meetings

EMMDS 2009. European Workshop on Challenges in Modern Massive Data Sets, Technical University of Denmark, Lyngby, Denmark, July 1–4, 2009.

MMDS 2008 Speakers

Deepak Agarwal Yahoo! Research, Silicon Valley
Pankaj Agarwal Duke University
Nir Ailon Google Research, New York
Reid Andersen Microsoft Research, Redmond
Arindam Banerjee University of Minnesota, Twin Cities
Edward Chang Google Research, Mountain View
Fan Chung University of California, San Diego
Kenneth Clarkson IBM Almaden Research Center
Ronald Coifman Yale University
Sanjoy Dasgupta University of California, San Diego
James Demmel University of California, Berkeley
Inderjit Dhillon University of Texas, Austin
Christos Faloutsos Carnegie Mellon University
Jerome Friedman Stanford University
Anna Gilbert University of Michigan, Ann Arbor
Sharad Goel Yahoo! Research, New York
Leonidas Guibas Stanford University
Lars Kai Hansen Technical University of Denmark
Elad Hazan IBM Almaden Research Center
Piotr Indyk Massachusetts Institute of Technology
T.S. Jayram IBM Almaden Research Center
Holly Jin LinkedIn
Michael Jordan University of California, Berkeley
Satyen Kale Microsoft Research, Redmond
Chandrika Kamath Lawrence Livermore National Laboratory
Ravi Kannan Microsoft Research, India
Ping Li Cornell University
Jun Liu Harvard University
Jitendra Malik University of California, Berkeley
Milena Mihail Georgia Institute of Technology
Partha Niyogi University of Chicago
Elizabeth Purdom University of California, Berkeley
Amin Saberi Stanford University
Yoram Singer Google Research, Mountain View
Daniel Spielman Yale University
Nathan Srebro University of Chicago
Nikhil Srivastava Yale University
Joel Tropp California Institute of Technology
Chris Wiggins Columbia University
Yuan Yao Stanford University
Tong Zhang Rutgers University
                                         

Sponsored by

National Science 
Foundation Yahoo! 
Research DARPA LinkedIn Pacific Institute 
for the Mathematical Sciences

With support from

Stanford iCME Berkeley 
Math