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08/31/2021
Using a one dimensional parabolic model of the full-batch loss to estimate learning rates during training
A fundamental challenge in Deep Learning is to find optimal step sizes f...
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03/31/2021
Empirically explaining SGD from a line search perspective
Optimization in Deep Learning is mainly guided by vague intuitions and s...
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10/02/2020
A straightforward line search approach on the expected empirical loss for stochastic deep learning problems
A fundamental challenge in deep learning is that the optimal step sizes ...
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03/28/2019
