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20162025
most citedGradient descent in a generalised Bregman distance framework

6 citations · 6 across the 3 of their papers we have counts for

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math.OC2024

Practical Acceleration of the Condat-Vũ Algorithm

Derek Driggs, Matthias J. Ehrhardt, Carola-Bibiane Schönlieb +1

The Condat-Vũ algorithm is a widely used primal-dual method for optimizing composite objectives of three functions. Several algorithms for optimizing composite objectives of two fu…

math.OC2016★ 6 cited

Gradient descent in a generalised Bregman distance framework

Martin Benning, Marta M. Betcke, Matthias J. Ehrhardt +1

We discuss a special form of gradient descent that in the literature has become known as the so-called linearised Bregman iteration. The idea is to replace the classical (squared)…