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20242026
most citedAutomatic Tuning of Denoising Algorithms Parameters Without Ground Truth

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math.OC2026

On The Linear Convergence of Bregman Proximal Gradient Methods with Applications to Kullback--Leibler regression

Jonathan Chirinos-Rodríguez, Christian Daniele, Cédric Févotte +1

Bregman Proximal Gradient methods (BPGM) exploit the underlying geometry of the objective function through a carefully chosen mirror map. In this work, we introduce a novel notion…