36 citations · 98 across the 20 of their papers we have counts for
5 papers · 1 filter
Inducing strong convergence of trajectories in dynamical systems associated to monotone inclusions with composite structure
Radu Ioan Boţ, Sorin-Mihai Grad, Dennis Meier +1
In this work we investigate dynamical systems designed to approach the solution sets of inclusion problems involving the sum of two maximally monotone operators. Our aim is to desi…
Generalized Self-concordant Hessian-barrier algorithms
Pavel Dvurechensky, Mathias Staudigl, César A. Uribe
Many problems in statistical learning, imaging, and computer vision involve the optimization of a non-convex objective function with singularities at the boundary of the feasible s…
Distributed forward-backward (half) forward algorithms for generalized Nash equilibrium seeking
Barbara Franci, Mathias Staudigl, Sergio Grammatico
We present two distributed algorithms for the computation of a generalized Nash equilibrium in monotone games. The first algorithm follows from a forward-backward-forward operator…
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…
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…