Videos: Workshop on Algorithms for Modern Massive Datasets

Looks like some of the videos of the MMDS workshop are now out, woohoo! Here are some samples connected to some of the themes mentioned here:



The Pursuit of Low-dimensional Structures in High-dimensional Data, Yi Ma 

Implementing Randomized Matrix Algorithms in Parallel and Distributed Environments, Michael Mahoney

Low Rank Approximation and Regression in Input Sparsity Time, David Woodruff 

Leverage Scores, the Column Subset Selection Problem, and Least-squares Problems, Petros Drineas 

On Robust Regression Estimators in High-dimension, Noureddine El Karoui

The rest of the videos of the wrokshop can be found on the MMDS YouYube channel




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