[PDF] ACMo: Angle-Calibrated Moment Methods for Stochastic Optimization





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Adam: A Method for Stochastic Optimization

30-Jan-2017 We introduce Adam an algorithm for first-order gradient-based optimization of stochastic objective functions



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12-May-2018 The dynamic relaxation is adapted for stochastic optimization of nonlinear ... tation of the algorithm is similar to the Adam Optimizer ...



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12-Sept-2019 SVGD: a Virtual Gradients Descent Method for. Stochastic Optimization. Zheng Li and Shi Shu. EasyChair preprints are intended for rapid.



ACMo: Angle-Calibrated Moment Methods for Stochastic Optimization

method (ACMo) a novel stochastic optimization method. It state-of-the-art Adam-type optimizers

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