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In this work we introduce a new optimisation method called SAGA in the spirit of SAG, SDCA, MISO and SVRG, a set of recently proposed incremental gradient algorithms with fast linear convergence rates.
Introductory Lectures On Convex Programming
Yu. Nesterov · 1998
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Variance reduction techniques for gradient estimates in reinforcement learning
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Proximal Splitting Methods in Signal Processing. In Fixed-Point Algorithms for Inverse Problems in Science and Engineering
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