Dual Averaging is Surprisingly Effective for Deep Learning Optimization

First-order stochastic optimization methods are currently the most widely used class of methods for training deep neural networks. However, the choice of the optimizer has become an ad-hoc rule that can significantly affect the performance... (read more)

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