13 citations · 17 across the 11 of their papers we have counts for
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math.OC2021
CSG: A stochastic gradient method for a wide class of optimization problems appearing in a machine learning or data-driven context
Lukas Pflug, Max Grieshammer, Andrian Uihlein +1
A recent article introduced thecontinuous stochastic gradient method (CSG) for the efficient solution of a class of stochastic optimization problems. While the applicability of kno…
math.OC2021★ 1 cited
Barrier and penalty methods for low-rank semidefinite programming with application to truss topology design
Soodeh Habibi, Arefeh Kavand, Michal Kocvara +1
The aim of this paper is to solve large-and-sparse linear Semidefinite Programs (SDPs) with low-rank solutions. We propose to use a preconditioned conjugate gradient method within…