Big Data Boot Camp

The Boot Camp is intended to acquaint program participants with the key themes of the program. It will consist of nine lectures or pairs of lectures given by experts on various topics as follows:

Alex Andoni (Microsoft Research): "Algorithmic High-Dimensional Geometry"
Graham Cormode (University of Warwick): "Streaming, Sketching and Sufficient Statistics"
Petros Drineas (Rensselaer Polytechnic Institute) & Michael Mahoney (Stanford University): "Past, Present and Future of Randomized Numerical Linear Algebra"
Michael Jordan (UC Berkeley): "Big Data: The Computation/Statistics Interface"
Ravi Kannan (Microsoft Research India): "Theory and Big Data"
Nati Linial (Hebrew University of Jerusalem): "Some Geometric Perspectives on Combinatorics: High-Dimensional, Local and Local-to-Global"
Ben Recht (UC Berkeley): "Optimization"
Joel Tropp (California Institute of Technology): "User-Friendly Tools for Random Matrices"
Martin Wainwright (UC Berkeley): "High-Dimensional Statistics"