Self-similar Epochs: Value in arrangement

international conference on machine learning, 2019.

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Abstract:

Optimization of machine learning models is commonly performed through stochastic gradient updates on randomly ordered training examples. This practice means that sub-epochs comprise of independent random samples of the training data that may not preserve informative structure present in the full data. We hypothesize that the training ca...More

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