Self-similar Epochs: Value in arrangement
international conference on machine learning, 2019.
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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