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math.OC2024
Learning Firmly Nonexpansive Operators
Kristian Bredies, Jonathan Chirinos-Rodriguez, Emanuele Naldi
This paper proposes a data-driven approach for constructing firmly nonexpansive operators. We demonstrate its applicability in Plug-and-Play (PnP) methods, where classical algorith…
math.OC2024
A general framework for inexact splitting algorithms with relative errors and applications to Chambolle-Pock and Davis-Yin methods
M. Marques Alves, Dirk A. Lorenz, Emanuele Naldi
In this work we apply the recently introduced framework of degenerate preconditioned proximal point algorithms to the hybrid proximal extragradient (HPE) method for maximal monoton…