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:

Click on the titles of individual talks for abstract, slides and archived video.

All events take place in the Calvin Lab Auditorium.

–
Coffee and Check-In
–
Opening Remarks
–
Big Data: The Computation/Statistics Interface
Michael Jordan (UC Berkeley)
–
Break
–
Algorithmic High-Dimensional Geometry I
Alex Andoni (Columbia University)
–
Lunch Break
–
User-Friendly Tools for Random Matrices I
Joel Tropp (California Institute of Technology)
–
Break
–
User-Friendly Tools for Random Matrices II
Joel Tropp (California Institute of Technology)
–
Break
–
User-Friendly Tools for Random Matrices III
Joel Tropp (California Institute of Technology)
–
Coffee and Check-In
–
Algorithmic High-Dimensional Geometry II
Alex Andoni (Columbia University)
–
Break
–
Past, Present and Future of Randomized Numerical Linear Algebra I
Petros Drineas (Purdue University), Michael Mahoney, Stanford University
–
Lunch Break
–
Past, Present and Future of Randomized Numerical Linear Algebra II
Petros Drineas (Purdue University), Michael Mahoney, Stanford University
–
Break
–
Optimization I
Benjamin Recht (UC Berkeley)
–
Coffee and Check-In
–
Optimization II
Benjamin Recht (UC Berkeley)
–
Break
–
High-Dimensional Statistics I
Martin Wainwright (MIT)
–
Lunch Break
–
High-Dimensional Statistics II
Martin Wainwright (MIT)
–
Break
–
Streaming, Sketching and Sufficient Statistics I
Graham Cormode (University of Warwick)
–
Coffee and Check-In
–
Streaming, Sketching and Sufficient Statistics II
Graham Cormode (University of Warwick)
–
Break
–
Some Geometric Perspectives on Combinatorics: High-Dimensional, Local and Local-to-Global I
Nati Linial (Hebrew University of Jerusalem)
–
Lunch Break
–
Some Geometric Perspectives on Combinatorics: High-Dimensional, Local and Local-to-Global II
Nati Linial (Hebrew University of Jerusalem)
–
Break
–
Theory and Big Data
Ravi Kannan (Simons Institute, UC Berkeley)