Big Data Boot Camp Day 2,3 and 4, Simons Institute, Berkeley by Igor Carron.
Igor has posted links to videos and supplemental materials for:
- Algorithmic High-Dimensional Geometry II by Alex Andoni, Microsoft Research
- High-Dimensional Statistics I by Martin Wainwright, UC Berkeley
- High-Dimensional Statistics II by Martin Wainwright, UC Berkeley
- Optimization I by Ben Recht, UC Berkeley
- Optimization II by Ben Recht, UC Berkeley
- Past, Present and Future of Randomized Numerical Linear Algebra I by Petros Drineas, Rensselaer Polytechnic Institute & Michael Mahoney, Stanford University
- Past, Present and Future of Randomized Numerical Linear Algebra II by Petros Drineas, Rensselaer Polytechnic Institute & Michael Mahoney, Stanford University
- Some Geometric Perspectives on Combinatorics: High-Dimensional, Local and Local-to-Global I by Nati Linial, Hebrew University of Jerusalem
- Some Geometric Perspectives on Combinatorics: High-Dimensional, Local and Local-to-Global II by Nati Linial, Hebrew University of Jerusalem
- Streaming, Sketching and Sufficient Statistics I by Graham Cormode, University of Warwick
- Streaming, Sketching and Sufficient Statistics II by Graham Cormode, University of Warwick
- Theory and Big Data by Ravi Kannan, Microsoft Research India
Just in case you have run out of video material for the weekend.