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math.OC2021★ 4 cited
Accelerated Forward-Backward Optimization using Deep Learning
Sebastian Banert, Jevgenija Rudzusika, Ozan Öktem +1
We propose several deep-learning accelerated optimization solvers with convergence guarantees. We use ideas from the analysis of accelerated forward-backward schemes like FISTA, bu…
math.OC2018★ 21 cited
Data-driven nonsmooth optimization
Sebastian Banert, Axel Ringh, Jonas Adler +2
In this work, we consider methods for solving large-scale optimization problems with a possibly nonsmooth objective function. The key idea is to first specify a class of optimizati…