Stochastic variance reduced gradient with hyper-gradient for non-convex large-scale learning

Non-convex optimization, which can better capture the problem structure, has received considerable attention in the applications of machine learning, image/signal processing, statistics, etc. With faster convergence rate, there have been tremendous studies on developing stochastic variance reduced a...

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