A fast non-monotone line search for stochastic gradient descent

Optimization and Engineering(2023)

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摘要
We give an improved non-monotone line search algorithm for stochastic gradient descent (SGD) for functions that satisfy interpolation conditions. We establish theoretical convergence guarantees for the algorithm for non-convex functions. We conduct a detailed empirical evaluation to validate the theoretical results.
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关键词
Non-monotone line search method,Stochastic gradient descent,Non-convex problem
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