Videos: Big Data Boot Camp Day 1, Simons Institute, Berkeley

Here are the videos of Day 1 of the Big Data Boot Camp at the Simons Institute. at the beginning of September:


Tuesday, September 3rd, 20138:30 am – 8:50 am

9:00 am – 10:30 am
Big Data: The Computation/Statistics Interface, Slides
Michael Jordan, UC Berkeley

• A scalable bootstrap for massive data. A. Kleiner, A. Talwalkar, P. Sarkar and M. I. Jordan. Journal of the Royal Statistical Society, Series B, in press.
• On statistics, computation and scalability. M. I. Jordan. Bernoulli, 19, 1378-1390, 2013.
• Computational and statistical tradeoffs via convex relaxation. V. Chandrasekaran and M. I. Jordan. Proceedings of the National Academy of Sciences, 110, E1181-E1190, 2013.

11:00 am – 12:30 pm
Algorithmic High-Dimensional Geometry I, slides
Alex Andoni, Microsoft Research

2:00 pm – 5:30 pm
User-Friendly Tools for Random Matrices I (slides)
Joel Tropp, California Institute of Technology

1. J. A. Tropp, "User-Friendly Tools for Random Matrices: An Introduction", 2012. 
2. J. A. Tropp, "User-Friendly Tail Bounds for Sums of Random Matrices", FOCM 2012. 
3. L. Mackey et al., "Matrix concentration inequalities via the method of exchangeable pairs," 2012. 

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