Michael just let me know that registration for MMDS (2016 Workshop on Algorithms for Modern Massive Data Sets (MMDS 2016 ) is now open (Previous MMDSs were covered under the MMDS tag)
Registration for the 2016 Workshop on Algorithms for Modern Massive Data Sets (MMDS 2016) is now available at:
Early registration is available until May 1, 2016.
In addition to four days of talks on algorithmic and statistical aspects of modern large-scale data analysis, MMDS 2016 will have a contributed poster session one evening. The registration fee is waived for student poster presenters. You may apply to present a poster at the link above.
Event: MMDS 2016: Workshop on Algorithms for Modern Massive Data Sets
Dates: June 21-24, 2016
Location: UC Berkeley, Berkeley, CA
Synopsis: The 2016 Workshop on Algorithms for Modern Massive Data Sets (MMDS 2016) will address algorithmic, mathematical, and statistical challenges in modern statistical data analysis. The goals of MMDS 2016 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.
Organizers: Michael Mahoney (UC Berkeley), Alex Shkolnik (Stanford), and Petros Drineas (RPI)
Liked this entry ? subscribe to Nuit Blanche's feed, there's more where that came from. You can also subscribe to Nuit Blanche by Email, explore the Big Picture in Compressive Sensing or the Matrix Factorization Jungle and join the conversations on compressive sensing, advanced matrix factorization and calibration issues on Linkedin.