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math.OC2022★ 1 cited
Descent Properties of an Anderson Accelerated Gradient Method With Restarting
Wenqing Ouyang, Yang Liu, Andre Milzarek
Anderson Acceleration (AA) is a popular acceleration technique to enhance the convergence of fixed-point iterations. The analysis of AA approaches typically focuses on the converge…
math.OC2022★ 2 cited
A Semismooth Newton Stochastic Proximal Point Algorithm with Variance Reduction
Andre Milzarek, Fabian Schaipp, Michael Ulbrich
We develop an implementable stochastic proximal point (SPP) method for a class of weakly convex, composite optimization problems. The proposed stochastic proximal point algorithm i…