The MMDS 2012 Slides are out! Workshop on Algorithms for Modern Massive Data Sets

In case you have to take your mind off tomorrow's suspense-filled and technologically challenging landing of Curiosity on Mars (see 7 minutes of Terror, a blockbuster taking place on Mars this Summer ) Michael Mahoney, Alex Shkolnik, Gunnar Carlsson, Petros Drineas, the organizers of Workshop on Algorithms for Modern Massive Data Sets (MMDS 2012), just made available the slides of the meeting. Other relevant meeting slides include that of the Coding, Complexity, and Sparsity Workshop and that of the GraphLab workshop. Don't grind your teeth too much tomorrow and Go Curiosity !

MMDS 2012
Tuesday, July 10, 2012. Theme: Data Analysis and Statistical Data Analysis

• 10:00 - 11:00 Tutorial: Jiawei Han  A Meta Path-Based Approach for Similarity Search and Mining of Heterogeneous Information Networks
• 11:00 - 11:30 Alexander Gray Faster Learning for Massive Datasets
• 11:30 - 12:00 Christopher Re Hazy: Making Data-driven Statistical Applications Easier to Build and Maintain
• 2:00 - 3:00 Tutorial: Peter Bartlett Model Selection and Recent Results for Large Scale Problems
• 3:00 - 3:30 Noureddine El Karoui On Robust Regression Estimators in High-dimension
• 3:30 - 4:00 Jure Leskovec Affiliation Network Models for Densely Overlapping Communities in Networks
• 4:30 - 5:00 Haesun Park Nonnegative Matrix Factorizations for Clustering
• 5:00 - 5:30 Fan Chung Graham Vectorized Laplacians for Dealing with High-dimensional Data Sets
• 5:30 - 6:00 Joydeep Ghosh Actionable Mining of Large, Multi-relational Data using Localized Predictive Models

Wednesday, July 11, 2012. Theme: Industrial and Scientific Applications
TimeTalk

• 9:00 - 10:00 Tutorial: DJ Patil When Algorithms Go Wrong: How Product Design Can Save Algorithmic Limitations
• 10:00 - 10:30 Sean Fahey Big Data and Analytics for National Security
• 11:00 - 11:30 Petros Drineas Leverage Scores, the Column Subset Selection Problem, and Least-squares Problems
• 11:30 - 12:00 David Woodruff Low Rank Approximation and Regression in Input Sparsity Time
• 12:00 - 12:30 Michael W. Mahoney Implementing Randomized Matrix Algorithms in Parallel and Distributed Environments
• 2:30 - 3:30 Tutorial: Rick Stevens The Biological, Algorithmic and Computational Challenges of Systems Biology
• 3:30 - 4:00 Tiankai Tu Fault-Tolerant Parallel Analysis of Millisecond-Scale Molecular Dynamics Trajectories
• 4:30 - 5:00 Alexander Szalay Current Statistical Challenges in Large Astronomical Surveys
• 5:00 - 5:30 Joseph Richards Astronomical Time Series Analysis for the Synoptic Survey Era
• 5:30 - 6:00 Tony Cass Data Handling for LHC: Plans and Reality

Thursday, July 12, 2012. Theme: Novel Algorithmic Approaches
TimeTalk
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

Friday, July 13, 2012. Theme: Novel Matrix and Graph Methods
TimeTalk

• 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 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

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