The mathematical foundations of deep learning: from rating impossibility to practical existence theorems

The curse of dimensionality and the blessings of sparsity and Monte Carlo sampling

Compressive Sensing Approaches for High-Dimensional Function Approximation

DASIV Spring School Models and Data.

University of South Carolina. Columbia, SC, USA. March 20, 2019.

Sparse High-dimensional Approximation from Highly Noisy Data

BIRS workshop, 18w5172: Numerical Analysis and Approximation Theory meets Data Science

Banff International Research Station (BIRS) for Mathematical Innovation and Discovery. Banff, AB, Canada. April 22, 2018.