$\vec{w}h\alpha\mathfrak{t}\;\; \forall\mathbb{R}\varepsilon\ldots$

conditional gradients?

Elias Wirth (TU Berlin/Zuse-Institut Berlin)
2021/05/07, 13:00
Before the MATH+ Friday Colloquium by Prof. Sebastian Pokutta (abstract, video recording)
Due to the current situation, the talk takes place online, via zoom. The meeting link has been sent out via the usual mailing lists; please contact the organisers if you have not received the email and would like to join the talk.
About what?

We introduce the Frank-Wolfe Algorithm, also known as Conditional Gradients. Recently, the algorithm has been revisited for various applications in machine learning. We motivate the Frank-Wolfe Algorithm and discuss the properties that make it appealing for practitioners.