1 citations · 1 across the 4 of their papers we have counts for
4 papers
Incorporating History and Deviations in Forward--Backward Splitting
Hamed Sadeghi, Sebastian Banert, Pontus Giselsson
We propose a variation of the forward--backward splitting method for solving structured monotone inclusions. Our method integrates past iterates and two deviation vectors into the…
DWIFOB: A Dynamically Weighted Inertial Forward-Backward Algorithm for Monotone Inclusions
Hamed Sadeghi, Sebastian Banert, Pontus Giselsson
We propose a novel dynamically weighted inertial forward-backward algorithm (DWIFOB) for solving structured monotone inclusion problems. The scheme exploits the globally convergent…
Forward--Backward Splitting with Deviations for Monotone Inclusions
Hamed Sadeghi, Sebastian Banert, Pontus Giselsson
We propose and study a weakly convergent variant of the forward--backward algorithm for solving structured monotone inclusion problems. Our algorithm features a per-iteration devia…
Hybrid Acceleration Scheme for Variance Reduced Stochastic Optimization Algorithms
Hamed Sadeghi, Pontus Giselsson
Stochastic variance reduced optimization methods are known to be globally convergent while they suffer from slow local convergence, especially when moderate or high accuracy is nee…