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Plug-In Stochastic Gradient Method (1811.03659v1)
Published 8 Nov 2018 in eess.SP and cs.LG
Abstract: Plug-and-play priors (PnP) is a popular framework for regularized signal reconstruction by using advanced denoisers within an iterative algorithm. In this paper, we discuss our recent online variant of PnP that uses only a subset of measurements at every iteration, which makes it scalable to very large datasets. We additionally present novel convergence results for both batch and online PnP algorithms.
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