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most citedA Normal Map-Based Proximal Stochastic Gradient Method: Convergence and Identification Properties

2 citations · 3 across the 13 of their papers we have counts for

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math.OC2023

A New Random Reshuffling Method for Nonsmooth Nonconvex Finite-sum Optimization

Junwen Qiu, Xiao Li, Andre Milzarek

Random reshuffling techniques are prevalent in large-scale applications, such as training neural networks. While the convergence and acceleration effects of random reshuffling-type…

math.OC2023★ 2 cited

A Normal Map-Based Proximal Stochastic Gradient Method: Convergence and Identification Properties

Junwen Qiu, Li Jiang, Andre Milzarek

The proximal stochastic gradient method (PSGD) is one of the state-of-the-art approaches for stochastic composite-type problems. In contrast to its deterministic counterpart, PSGD…