- Ronald DeVore: An abbreviated and very personal history of nonlinear approximation
- Stéphane Mallat, Classification with Sparse Deep Scattering Networks
- Peter Bühlmann, Assigning statistical significance in high-dimensional problems
- Rob Nowak, Adaptive Sensing of Sparse Signals
- Patrick Combettes, From Convex Feasibility to Optimization in Signal Recovery and Learning
- Inderjit Dhillion, BIG & QUIC: Sparse inverse covariance estimation for a million variables
- Michael Unser, Sparse stochastic processes: A continuous-domain statistical framework for compressed sensing
Big thanks to the organizers Volkan Cevher, Matthias Seeger for making some of the videos a reality
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