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Distributed Hessian-Free Optimization for Deep Neural Network, , , and . (2016)distributed Hessian.On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima., , , , and . ICLR, OpenReview.net, (2017)A Progressive Batching L-BFGS Method for Machine Learning., , , , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 619-628. PMLR, (2018)On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima, , , , and . (2016)cite arxiv:1609.04836Comment: Accepted as a conference paper at ICLR 2017.Efficient Distributed Hessian Free Algorithm for Large-scale Empirical Risk Minimization via Accumulating Sample Strategy., , , , , , and . CoRR, (2018)TopoOpt: Co-optimizing Network Topology and Parallelization Strategy for Distributed Training Jobs., , , , , , , and . NSDI, page 739-767. USENIX Association, (2023)Unity: Accelerating DNN Training Through Joint Optimization of Algebraic Transformations and Parallelization., , , , , , , , , and 5 other author(s). OSDI, page 267-284. USENIX Association, (2022)SEERL: Sample Efficient Ensemble Reinforcement Learning., , , , and . AAMAS, page 1100-1108. ACM, (2021)Mixed Low-precision Deep Learning Inference using Dynamic Fixed Point., , , , and . CoRR, (2017)The Architectural Implications of Facebook's DNN-based Personalized Recommendation., , , , , , , , , and 5 other author(s). CoRR, (2019)