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.
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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|Dimitris Achlioptas||UC Santa Cruz|
|Nesreen Ahmed||Intel Labs|
|Joakim Anden||Princeton University|
|Robert Anderson||UC Berkeley|
|Jonathan Berry||Sandia National Laboratories|
|Kristofer Bouchard||Lawrence Berkeley National Laboratory|
|Constantine Caramanis||UT Austin|
|Alex Dimakis||UT Austin|
|Mark Flood||Office of Financial Research|
|Kimon Fountoulakis||University of California Berkeley|
|Surya Ganguli||Stanford University|
|Lise Getoor||UC Santa Cruz|
|Alex Gittens||International Computer Science Institute|
|David Gleich||Purdue University|
|Lisa Goldberg||UC Berkeley|
|Bryan Graham||UC Berkeley (Economics)|
|Moritz Hardt||Google Research|
|Charles Martin||Calculation Consulting|
|Marina Meila||University of Washington|
|Vahab Mirrokni||Google Research|
|Cameron Musco||Massachusetts Institute of Technology|
|Serena Ng||Columbia University|
|Abbas Ourmazd||Univ. of Wisconsin Milwaukee|
|Prabhat||Lawrence Berkeley National Laboratory|
|Christopher Re||Stanford University|
|Fred Roosta||ICSI and UC Berkeley|
|Jasjeet Sekhon||UC Berkeley|
|Cosma Shalizi||Carnegie Mellon University|
|Alex Shkolnik||UC Berkeley|
|Julian Shun||UC Berkeley|
|Amit Singer||Princeton University|
|Aarti Singh||Carnegie Mellon University|
|Alex Smola||Carnegie Mellon University|
|Jimeng Sun||Georgia tech|
|Matt Taddy||Chicago Booth and Microsoft Research|
|Charalampos Tsourakakis||Harvard University|
|Jake VanderPlas||University of Washington|
|Sebastiano Vigna||Università degli Studi di Milano, Dipartimento di Informatica|
|Peter Wang||Continuum Analytics|
|Rachel Ward||University of Texas at Austin|
|Ted Willke||Intel Labs|
|Daniela Witten||University of Washington|
|Dacheng Xiu||Chicago Booth|
|Bin Yu||Statistics and EECS, UC Berkeley|
The 2016 Workshop on Algorithms for Modern Massive Data Sets (MMDS 2016) will address algorithmic and statistical challenges in modern large-scale data analysis. The program for MMDS 2016 will be structured around three related themes: theoretical foundations; novel algorithms and implementations; and diverse data applications.
HotelsThe following is a list of recommended hotel and bed & breakfast options. Most of the locations are within 30 minute walking distance to Stanley Hall.
Faculty Club - Centrally located on the UC Berkeley campus, Faculty Club is a short walk away from bus stops and restaurants. It is within walking distance to every point on the UC Berkeley campus and is perfect for those who’d like to explore the campus.
Hotel Durant - Hotel Durant is located one block away from UC Berkeley campus. With bus stops right around the corners, restaurants and shops are easily accessible. Complete with four-star amenities, Hotel Durant provides both modern luxury and historical Berkeley experience.
Rose Garden Inn - Located in South Berkeley, Rose Garden Inn is housed in five historic buildings surrounded by lush flower gardens and soothing fountains. This Inn offers beautiful rooms and suites with unique furnishing and rich carpet. It is around 5-minute drive from UC Berkeley campus. Restaurants and shops are within walking distance.
Berkeley Lab Guest House - This Guest House is conveniently located on the Lawrence Berkeley National Laboratory campus. Many of the rooms offer spectacular views of the San Francisco Bay, skyline, and City of Berkeley. The Guest House is only a few minutes away from the University of California Berkeley campus and the dynamic Berkeley community.
Double Tree by Hilton - Located on Berkeley Marina with waterfront views and panoramic views of San Francisco skyline and Berkeley Hills. All rooms feature a balcony or patio. It is a bit far away, but can easily commute to UC Berkeley campus with a 20-minute drive.
Claremont Hotel Club & Spa - Conveniently located in the heart of Berkeley, the hotel is only a 10-minute drive from UC Berkeley campus and a 20-minute drive from downtown San Francisco. Private parking is available. It is a large and quiet hotel with many breathtaking views of San Francisco.
Mary's Bed and Breakfast - The large lovely homes and gardens, scenic walks, easy parking, access to shops, and top-rated restaurants make this an ideal location. It is close to pathways with stunning views of San Francisco, the Golden Gate Bridge, Alcatraz, and Marin County. The bed and breakfast is one-mile south of UC Berkeley campus.
The Brick Path Bed and Breakfast - Located in the area of North Berkeley near popular Solano Avenue’s shops and restaurants, it is approximately two miles from the University of California and Downtown Berkeley. The cottage has its own garden entrance, private modern bathroom and comfortable queen-size bed.
Directions & Parking
BART from Oakland International Airport: Take the AirBART shuttle ($3) to the Oakland Coliseum BART station. At the BART station, purchase a ticket to Downtown Berkeley. Board a Richmond train (orange line), which will take you directly to the Downtown Berkeley station. Travel time: 45 minutes.
General information on public trasportation and parking around UC Berkeley may be found here and here. Campus parking is available at the Underhill Structure, located on Channing Way between The closest off-campus parking is the City of Berkeley Telegraph Channing Garage, located at 2450 Durant Ave., between Dana St. and Telegraph Ave. More parking infomation may be found at this link.
Michael Mahoney (Chair), ICSI and Department of Statistics, UC Berkeley.
Alexander Shkolnik, CDAR and Department of Economics, UC Berkeley.
Petros Drineas, Department of Computer Science, Rensselaer Polytechnic Institute.
AnnouncementsTalks will be held at Stanley Hall, Room 105. Here it is on a UC Berkeley map and a Google map.
The MMDS poster session will be held jointly with an evening reception on Thursday, June 23rd.
Interana is sponsoring MMDS 2016.Join us on Tuesday, June 21st for an evening reception of food, drinks, and data science.
Early registration for the MMDS 2016 Workshop is extended till May 8th.
Call for posters: In addition to the talks there will be a poster session. You may apply to present a poster on the registration page.
Our new YouTube channel is now online with video recondings of talks from the 2012 & 2014 workshops.
Early registration for the MMDS 2016 Workshop is now open. Deadline: May 1st.
BIDS is sponsoring MMDS 2016.Founded in 2013, the Berkeley Institute for Data Science (BIDS) is a central hub of research and education at UC Berkeley designed to facilitate and nurture data-intensive science.
The MMDS 2016 workshop will take place on the UC Berkeley Campus Tuesday, June 21 through Friday, June 24.
The 5th MMDS Workshop on Algorithms for Modern Massive Data Sets was held June 17–20, 2014, in Berkeley, CA. Video recordings of all the talks may be found on our YouTube channel. Download the full MMDS 2014 program here.