Big Data Boot Camp Day 2,3 and 4, Simons Institute, Berkeley

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.

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