Topic I: Randomized Linear Algebra (Michael Mahoney, UC-Berkeley) 3 lectures, 1 lab
Topic II: High-dimensional Statistics (Po-Ling Loh, UW-Madison; Anru Zhang, UW-Madison) 2 lectures, no lab
Topic III: Interactive ML (Rob Nowak, UW-Madison) 2 lectures
Topic IV: Graphs and Networks (Sebastien Roch, UW-Madison) 2 lectures, 1 lab
Topic V: Continuous Optimization (Stephen Wright, UW-Madison; Maryam Fazel, U. Washington; Dmitriy Drusvyatskiy, U. Washington) 3 lectures, 1 lab
Topic VI: Deep Learning (Zaid Harchaoui, U. Washington) 1 lecture+2 labs.
No video available.