Universal gradient descent
Not on the map. Why?
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.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2025: 1.
1 paper.
- 2025Power-Constrained Policy Gradient Methods for LQRcited by 0
- 2025Power-Constrained Policy Gradient Methods for LQR21 Jul 2025