The mother of all representer theorems for inverse problems & machine learning - Michael Unser

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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
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