2 citations · 7 across the 7 of their papers we have counts for
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The Continuous Stochastic Gradient Method: Part II -- Application and Numerics
Max Grieshammer, Lukas Pflug, Michael Stingl +1
In this contribution, we present a numerical analysis of the continuous stochastic gradient (CSG) method, including applications from topology optimization and convergence rates. I…
The Continuous Stochastic Gradient Method: Part I -- Convergence Theory
Max Grieshammer, Lukas Pflug, Michael Stingl +1
In this contribution, we present a full overview of the continuous stochastic gradient (CSG) method, including convergence results, step size rules and algorithmic insights. We con…
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…