Calculus of Variations and Geometric Measure Theory
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Towards a mathematical understanding of supervised learning: What we know and what we don't know

Weinan E

created by wojtowytsch on 19 Jun 2020

1 jul 2020 -- 18:00   [open in google calendar]

One world seminar on theoretical machine learning.

While slightly removed from classical problems in the calculus of variations, techniques used in theoretical machine learning include optimal transport theory, gradient flows in Wasserstein spaces and general measure theory. We hope that the seminar series may be off interest to this audience as well.

The zoom link will be posted at the linked url closer to the event.

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