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Nonasymptotic Convergence Rates for Plug-and-Play Methods With MMSE Denoisers

Pritchard, Henry et al.
arXiv (All) · Papers
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machine-learningoptimization-and-controlsignal-processing
It is known that the minimum-mean-squared-error (MMSE) denoiser under Gaussian noise can be written as a proximal operator, which suffices for asymptotic convergence of plug-and-play (PnP) methods but does not reveal the structure of the induced regularizer or give convergence rates. We show that th
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