GitHub topics: proximal-gradient-method

Proximal algorithms for nonsmooth optimization in Julia

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Regularized methods for efficient ranking in networks

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Test Cases for Regularized Optimization

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A Julia package for adaptive proximal gradient and primal-dual algorithms

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Some notes on convex optimization

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Iterative shrinkage / thresholding algorithms (ISTAs) for linear inverse problems

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Proximal Gradient/Semismooth Newton Methods for Projection onto a Polyhedron via the Duality-Gap-Active-Set Strategy

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[Optimization algorithms] Study of the Proximal Gradient Method, Stochastic Gradient Descent method and Adam optimizer

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Implementation and brief comparison of different First Order and different Proximal gradient methods, comparison of their convergence rates

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