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In this talk we will review common first order optimization methods from a regularization perspective. In particular, we will discuss the interplay and effect of acceleration for convergence and stability.
This presentation is part of Minisymposium “MS79 - From optimization to regularization in inverse problems and machine learning”
organized by: Silvia Villa (Politecnico di Milano) , Lorenzo Rosasco (University of Genoa, Istituto Italiano di Tecnologia; Massachusetts Institute of Technology) .