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.
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)
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)
Carola-Bibiane Schönlieb (University of Cambridge, UK)
Sophia Olhede (EPFL, France)
For an additional fee, a conference dinner has been organised for Thursday 30 May, on-board the My Fair Lady canal cruiser. We will set sail from Walkers Quay in Camden between 18:30 - 19:00 and return by 21:00.
Kindly supported by...