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- research-articleAugust 2017
Small Batch or Large Batch?: Gaussian Walk with Rebound Can Teach
KDD '17: Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data MiningPages 1275–1284https://doi.org/10.1145/3097983.3098147Efficiency of large-scale learning is a hot topic in both academic and industry. The stochastic gradient descent (SGD) algorithm, and its extension mini-batch SGD, allow the model to be updated without scanning the whole data set. However, the use of ...
