Learningstepsizesforunfoldedsparsecoding

Neural Information Processing Systems 

In this paper, we study the selection of adapted step sizes for ISTA. We showthat a simple step size strategy can improve the convergence rate of ISTA byleveraging the sparsity of the iterates. However, it is impractical in most largescale applications.

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