This workshop - organised under the auspices of the Isaac Newton Institute on “Approximation, sampling and compression in data science” — brings together leading researchers in the general fields of mathematics, statistics, computer science and engineering.

 

About the event

The workshop aims to bridge the gap between various communities working on the mathematics aspects of data science, including computational statistics, machine learning, optimisation, information theory, and learning theory, by acting as a forum to discuss the most-cutting-edge advances in the field, exchange ideas, and stimulate collaboration between various researchers.

Confirmed speakers:

Ben Adcock (Simon Fraser University of Canada)

Rich Baraniuk (Rice University USA)

Michael Bronstein (Imperial College, UK)

Ron DeVore (Texas A&M, USA)

Pier Luigi Dragotti (Imperial College, UK)

Remi Gribonval (Inria, France)

Stan Osher (UCLA, USA)

Gabriel Peyre (Ecole Normale Superieure, France)

Justin Romberg (Georgia Institute of Technology, USA)

Thomas Strohmer (University of California, Davis, USA)

Joel Tropp (California Institute of Technology,USA)

Michael Unser (EPFL, Switzerland)

Mihaela van der Schaar (University of Oxford, UK)

Rebecca Willett (University of Chicago, USA)

 

 

Organisers

Professor Robert Calderbank

Professor of Computer Science, Electrical Engineering, and Mathematics and Director of the Information Initiative at Duke University

Dr Anders Hansen

Associate Professor in mathematics at Department of Applied Mathematics and Theoretical Physics, University of Cambridge

Location

The Alan Turing Institute

1st floor of the British Library, 96 Euston Road, London, NW1 2DB

51.5297753, -0.12665390000006