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Arithmetic Simplicity in Stochastic Gradient Methods

Fu, Bin et al.
arXiv (All) · Papers
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machine-learning
A gradient descent method is arithmetically simple if the operations are limited to $+,-, \times$, and division $x/2^t$ with integer $t$. An arthmetically simple gradient method is easy to implement in chip design. We show how to transform AdaGrad, Adam, and AdamW into arithmetically simple. AdamW
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