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20182024
most citedForward-backward-forward methods with variance reduction for stochastic variational inequalities

13 citations · 13 across the 2 of their papers we have counts for

collaborators

8 papers

math.OC2020

A Relaxed Inertial Forward-Backward-Forward Algorithm for Solving Monotone Inclusions with Application to GANs

Radu Ioan Bot, Michael Sedlmayer, Phan Tu Vuong

We introduce a relaxed inertial forward-backward-forward (RIFBF) splitting algorithm for approaching the set of zeros of the sum of a maximally monotone operator and a single-value…

math.OC2019

Strong Convergence of Forward-Backward-Forward Methods for Pseudo-monotone Variational Inequalities with Applications to Dynamic User Equilibrium in Traffic Networks

Benoit Duvocelle, Dennis Meier, Mathias Staudigl +1

In infinite-dimensional Hilbert spaces we device a class of strongly convergent primal-dual schemes for solving variational inequalities defined by a Lipschitz continuous and pseud…

math.OC2019

Using positive spanning sets to achieve d-stationarity with the Boosted DC Algorithm

Francisco J. Aragón Artacho, Rubén Campoy, Phan T. Vuong

The Difference of Convex functions Algorithm (DCA) is widely used for minimizing the difference of two convex functions. A recently proposed accelerated version, termed BDCA for Bo…

math.OC201913 cited

Forward-backward-forward methods with variance reduction for stochastic variational inequalities

Radu Ioan Bot, Panayotis Mertikopoulos, Mathias Staudigl +1

We develop a new stochastic algorithm with variance reduction for solving pseudo-monotone stochastic variational inequalities. Our method builds on Tseng's forward-backward-forward…

math.OC2018

Finding Zeros of Hölder Metrically Subregular Mappings via Globally Convergent Levenberg-Marquardt Methods

Masoud Ahookhosh, Ronan M. T. Fleming, Phan T. Vuong

We present two globally convergent Levenberg-Marquardt methods for finding zeros of Hölder metrically subregular mappings that may have non-isolated zeros. The first method unifies…

math.OC2018

The Boosted DC Algorithm for nonsmooth functions

Francisco J. Aragón Artacho, Phan T. Vuong

The Boosted Difference of Convex functions Algorithm (BDCA) was recently proposed for minimizing smooth difference of convex (DC) functions. BDCA accelerates the convergence of the…