mlsanityData to 14 Oct 2026

Universal gradient descent

arXiv 1711.00394 ↗First posted 1 Nov 2017math.OCcited by 1

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Abstract (arXiv)

In this book we collect many different and useful facts around gradient descent method. First of all we consider gradient descent with inexact oracle. We build a general model of optimized function that include composite optimization approach, level's methods, proximal methods etc. Then we investigate primal-dual properties of the gradient descent in general model set-up. At the end we generalize method to universal one.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). First posted on arXiv 1 Nov 2017.

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