This workshop explores the interplay between the approximation of functions and computational harmonic analysis. It focuses on the mathematical foundations of cutting-edge algorithms in areas such as image and signal processing, numerical analysis, and data science.
This workshop intersects most directly with the Foundations of Data Science and Machine Learning, Information-Based Complexity, and Foundations of Numerical PDEs workshops.
Organizers
Speakers
Semi-plenary speakers
Universite Paris-Dauphine
Stanford University and Yale University
Invited speakers
New York University
Johns Hopkins University
Princeton University
Duke University
University of California
University of Washington
University of Michigan
Imperial College
New York University