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Applying Adaptive Gradient Descent to solve matrix factorization (2010.10280v1)
Published 20 Oct 2020 in math.OC
Abstract: Based on the method of FGD, we apply the method of adaptive gradient descent which uses different step length at different epoch. Adaptive gradient descent performs much better than FGD in the tests and keeps the guarantee of convergence speed at the same time.
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