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    On the convergence and improvement of stochastic normalized gradient descent

    Non-convex models, like deep neural networks, have been widely used in machine learning applications. Training non-convex models is a difficult task owing to the saddle points of models. Recently, stochastic n...

    Shen-Yi Zhao, Yin-Peng **e, Wu-Jun Li in Science China Information Sciences (2021)