activity
20082024
most citedAn inertial alternating direction method of multipliers

70 citations · 171 across the 33 of their papers we have counts for

collaborators

43 papers

math.OC2024

Strong convergence and fast rates for systems with Tikhonov regularization

Ernö Robert Csetnek, Szilárd Csaba László

We introduce and investigate the asymptotic behaviour of the trajectories of a second order dynamical system with Tikhonov regularization for solving a monotone equation with singl…

math.OC2022

Fast Optimistic Gradient Descent Ascent (OGDA) method in continuous and discrete time

Radu Ioan Bot, Ernö Robert Csetnek, Dang-Khoa Nguyen

In the framework of real Hilbert spaces we study continuous in time dynamics as well as numerical algorithms for the problem of approaching the set of zeros of a single-valued mono…

math.OC2021

Fast Augmented Lagrangian Method in the convex regime with convergence guarantees for the iterates

Radu Ioan Bot, Ernö Robert Csetnek, Dang-Khoa Nguyen

This work aims to minimize a continuously differentiable convex function with Lipschitz continuous gradient under linear equality constraints. The proposed inertial algorithm resul…

math.OC2021

An accelerated minimax algorithm for convex-concave saddle point problems with nonsmooth coupling function

Radu Ioan Bot, Ernö Robert Csetnek, Michael Sedlmayer

In this work we aim to solve a convex-concave saddle point problem, where the convex-concave coupling function is smooth in one variable and nonsmooth in the other and not assumed…

math.OC2020

Continuous dynamics related to monotone inclusions and non-smooth optimization problems

Ernö Robert Csetnek

The aim of this survey is to present the main important techniques and tools from variational analysis used for first and second order dynamical systems of implicit type for solvin…

math.OC2020★ 1 cited

Two steps at a time -- taking GAN training in stride with Tseng's method

Axel Böhm, Michael Sedlmayer, Ernö Robert Csetnek +1

Motivated by the training of Generative Adversarial Networks (GANs), we study methods for solving minimax problems with additional nonsmooth regularizers. We do so by employing \em…