ML BPGD extends MGOPT to Bregman proximal gradient descent for constrained convex problems, proving global linear convergence across multiple coarse levels and validating on image reconstruction.
Stochastic relaxation, gibbs distributions, and the bayesian restoration of images.IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI-6(6):721–741
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Multilevel Bregman Proximal Gradient Descent
ML BPGD extends MGOPT to Bregman proximal gradient descent for constrained convex problems, proving global linear convergence across multiple coarse levels and validating on image reconstruction.