MMDS 2016 Workshop Announcement
The 2016 Workshop on Algorithms for Modern Massive Data Sets (MMDS 2016) will have four days of presentations by experts from academia and industry as well as discussion and poster presentations. Planned workshop themes include: large-scale statistical data analysis; scientific and industrial applications; algorithmic and statistical approaches to data; matrix and graph methods; and large scale computing and machine learning. The event takes place at UC Berkeley campus Tuesday, June 21 through Friday, June 24.
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Workshop on Algorithms for Modern Massive Data Sets (MMDS)
The Workshops on Algorithms for Modern Massive Data Sets (MMDS) address algorithmic 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 the cross-fertilization of ideas.
Latest newsMMDS 2016 will be held at UC Berkeley, Berkeley CA.
Michael Mahoney (Chair), ICSI and Department of Statistics, UC Berkeley.
Alexander Shkolnik, Department of Economics, UC Berkeley.
Petros Drineas, Department of Computer Science, Rensselaer Polytechnic Institute.
AnnouncementsThe MMDS 2016 workshop will take place on the UC Berkeley Campus June 21st through June 24th.
Video recordings of the MMDS 2014 talks may be found on our YouTube channel.
The program for MMDS 2014 is available for download.
Early registration for the MMDS 2014 workshop extended to May 7th.
Call for posters: In addition to the talks there will be a poster session during one of the receptions. You may apply to present a poster on the registration page.
Early registration for the MMDS 2014 workshop will remain open through May 1st.
We will be running MMDS 2014 at UC Berkeley campus Tuesday, June 17 through Friday, June 20.