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Big Batch SGD: Automated Inference using Adaptive Batch Sizes., , , and . CoRR, (2016)Automated Inference with Adaptive Batches., , , and . AISTATS, volume 54 of Proceedings of Machine Learning Research, page 1504-1513. PMLR, (2017)Drawing Multiple Augmentation Samples Per Image During Training Efficiently Decreases Test Error., , , , and . CoRR, (2021)Efficient Neural Network Verification with Exactness Characterization., , , , , and . UAI, volume 115 of Proceedings of Machine Learning Research, page 497-507. AUAI Press, (2019)On the Origin of Implicit Regularization in Stochastic Gradient Descent., , , and . ICLR, OpenReview.net, (2021)The Impact of Neural Network Overparameterization on Gradient Confusion and Stochastic Gradient Descent., , , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 8469-8479. PMLR, (2020)Resurrecting Recurrent Neural Networks for Long Sequences., , , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 26670-26698. PMLR, (2023)Fast optimization methods for machine learning, and game-theoretic models of cultural evolution.. University of Maryland, College Park, MD, USA, (2018)base-search.net (ftunivmaryland:oai:drum.lib.umd.edu:1903/21148).Understanding Norm Change: An Evolutionary Game-Theoretic Approach., , and . AAMAS, page 1433-1441. ACM, (2017)Batch Normalization Biases Deep Residual Networks Towards Shallow Paths, and . (2020)cite arxiv:2002.10444.