MMDS 2012 Wrap-up: We kindly thank all
participants,
poster presenters and
speakers for attending the workshop.
The Workshops on Algorithms for Modern Massive Data Sets (MMDS 2012) addressed 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 2012 Wrap-up: We kindly thank all
participants,
poster presenters and
speakers for attending the workshop.
| Time | Talk |
|---|---|
| 9:00 - 10:00 | Tutorial: Michael Mitzenmacher Peeling Arguments: Invertible Bloom Lookup Tables and Biff Codes ► |
| 10:00 - 10:30 | Frederic Chazal Detection and Approximation of Linear Structures in Metric Spaces ► |
| 11:00 - 11:30 | Ping Li Probabilistic Hashing for Efficient Search and Learning on Massive Data ► |
| 11:30 - 12:00 | Ashish Goel Real Time Social Search and Related Problems ► |
| 12:00 - 12:30 | Andrew Goldberg Hub Labels in Databases: Shortest Paths for the Masses ► |
| 2:30 - 3:00 | Theodore Johnson Data Stream Warehousing ► |
| 3:00 - 3:30 | Josh Wills Experimenting at Scale ► |
| 3:30 - 4:00 | Hang Li Large Scale Machine Learning for Query Document Matching in Web Search ► |
| 4:30 - 4:50 | Blair Sullivan Branching Out: Quantifying Tree-like Structure in Complex Networks ► |
| 4:50 - 5:10 | Mahdi Soltanolkotabi A Geometric Analysis of Subspace Clustering with Outliers ► |
| 5:10 - 5:30 | Bahman Bahmani Scalable K-Means++ ► |
| 5:30 - 6:00 | Steve Bartel Analytics at Dropbox |
| Time | Talk |
|---|---|
| 9:00 - 10:00 | Tutorial: Yi Ma The Pursuit of Low-dimensional Structures in High-dimensional Data ► |
| 10:00 - 10:30 | Edoardo Airoldi Graphlets Decomposition of a Weighted Network ► |
| 11:00 - 11:30 | Yiannis Koutis SDD Solvers: Bridging the Gap Between Theory and Practice ► |
| 11:30 - 12:00 | Art Owen Bootstrapping r-fold Tensor Data ► |
| 12:00 - 12:30 | Kamesh Madduri Algorithms and Tools for Scalable Graph Analytics ► |
| 2:30 - 3:00 | Shaowei Lin Studying Model Asymptotics with Singular Learning Theory ► |
| 3:00 - 3:30 | David Bindel Communities, Spectral Clustering, and Random Walks ► |
| 3:30 - 4:00 | Ali Pinar The Block Two-Level Erdos-Renyi (BTER) Graph Model ► |
| 4:30 - 5:00 | Xiao-Li Meng (presented by Alexander Blocker) Preprocessing, Multiphase Inference, and Massive Data in Theory and Practice ► |
| 5:00 - 5:30 | Alfred Hero Hub Discovery in Large Correlation Networks ► |
| 5:30 - 6:00 | Dan Feldman Google Your Life: Learning Sensors Data ► |
| Edoardo Airoldi | Harvard University |
| Bahman Bahmani | Stanford University |
| Steve Bartel | Dropbox |
| Peter Bartlett | University of California, Berkeley, and QUT |
| David Bindel | Cornell University |
| Tony Cass | CERN |
| Frederic Chazal | INRIA |
| Fan Chung Graham | University of California, San Diego |
| Petros Drineas | Rensselaer Polytechnic Institute |
| Noureddine El Karoui | University of California, Berkeley |
| Sean Fahey | Johns Hopkins Applied Physics Laboratory |
| Dan Feldman | Massachusetts Institute of Technology |
| Joydeep Ghosh | University of Texas, Austin |
| Ashish Goel | Stanford University |
| Andrew Goldberg | Microsoft Research, Silicon Valley |
| Alexander Gray | Georgia Institute of Technology |
| Jiawei Han | University of Illinois, Urbana-Champaign |
| Alfred Hero | University of Michigan |
| Theodore Johnson | AT&T Research Labs |
| Yiannis Koutis | University of Puerto Rico, Rio Piedras |
| Jure Leskovec | Stanford University |
| Hang Li | Huawei Labs |
| Ping Li | Cornell University |
| Shaowei Lin | University of California, Berkeley |
| Yi Ma | Microsoft Research, Asia |
| Kamesh Madduri | Pennsylvania State University |
| Xiao-Li Meng | Harvard University |
| Michael Mitzenmacher | Harvard University |
| Art Owen | Stanford University |
| Haesun Park | Georgia Institute of Technology |
| DJ Patil | Greylock Partners |
| Ali Pinar | Sandia National Laboratories |
| Christopher Re | University of Wisconsin, Madison |
| Joseph Richards | University of California, Berkeley |
| Mahdi Soltanolkotabi | Stanford University |
| Rick Stevens | Argonne National Laboratory |
| Blair Sullivan | Oak Ridge National Labs |
| Alexander Szalay | Johns Hopkins University |
| Tiankai Tu | DE Shaw Research |
| Josh Wills | Cloudera, Inc |
| David Woodruff | IBM Research, Almaden |
 |
 |
 |
 |
 |
 |
MMDS 2010: Workshop on Algorithms for Modern Massive Data Sets, Stanford, CA, June 15–18, 2010.
MMDS 2008: Workshop on Algorithms for Modern Massive Data Sets, Stanford, CA, June 25–28, 2008.
MMDS 2006: Workshop on Algorithms for Modern Massive Data Sets, Stanford, CA, June 21–24, 2006.