Plug-In Stochastic Gradient Method
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Abstract (arXiv)
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.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). First posted on arXiv 8 Nov 2018.
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Citing papers per year: 2026: 1.
1 paper.
- 2026Stochastic Generative Plug-and-Play Priorscited by 3
- 2026Stochastic Generative Plug-and-Play Priors4 Apr 2026