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Efficient Distributed Hessian Free Algorithm for Large-scale Empirical Risk Minimization via Accumulating Sample Strategy.

M. Jahani, X. He, C. Ma, A. Mokhtari, D. Mudigere, A. Ribeiro, and M. Takác. CoRR, (2018)

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On Large-Batch Training for Deep Learning: Generalization Gap and Sharp MinimaN. Keskar, D. Mudigere, J. Nocedal, M. Smelyanskiy, and P. Tang. (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.M. Jahani, X. He, C. Ma, A. Mokhtari, D. Mudigere, A. Ribeiro, and M. Takác. CoRR, (2018)On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima.N. Keskar, D. Mudigere, J. Nocedal, M. Smelyanskiy, and P. Tang. ICLR, OpenReview.net, (2017)A Progressive Batching L-BFGS Method for Machine Learning.R. Bollapragada, D. Mudigere, J. Nocedal, H. Shi, and P. Tang. ICML, volume 80 of Proceedings of Machine Learning Research, page 619-628. PMLR, (2018)Distributed Hessian-Free Optimization for Deep Neural NetworkX. He, D. Mudigere, M. Smelyanskiy, and M. Takáč. (2016)distributed Hessian.SEERL: Sample Efficient Ensemble Reinforcement Learning.R. Saphal, B. Ravindran, D. Mudigere, S. Avancha, and B. Kaul. AAMAS, page 1100-1108. ACM, (2021)TopoOpt: Co-optimizing Network Topology and Parallelization Strategy for Distributed Training Jobs.W. Wang, M. Khazraee, Z. Zhong, M. Ghobadi, Z. Jia, D. Mudigere, Y. Zhang, and A. Kewitsch. NSDI, page 739-767. USENIX Association, (2023)Unity: Accelerating DNN Training Through Joint Optimization of Algebraic Transformations and Parallelization.C. Unger, Z. Jia, W. Wu, S. Lin, M. Baines, C. Narvaez, V. Ramakrishnaiah, N. Prajapati, P. McCormick, J. Mohd-Yusof and 5 other author(s). OSDI, page 267-284. USENIX Association, (2022)The Architectural Implications of Facebook's DNN-based Personalized Recommendation.U. Gupta, X. Wang, M. Naumov, C. Wu, B. Reagen, D. Brooks, B. Cottel, K. Hazelwood, B. Jia, H. Lee and 5 other author(s). CoRR, (2019)TopoOpt: Optimizing the Network Topology for Distributed DNN Training.W. Wang, M. Khazraee, Z. Zhong, Z. Jia, D. Mudigere, Y. Zhang, A. Kewitsch, and M. Ghobadi. CoRR, (2022)

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Efficient Distributed Hessian Free Algorithm for Large-scale Empirical Risk Minimization via Accumulating Sample Strategy.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Efficient Distributed Hessian Free Algorithm for Large-scale Empirical Risk Minimization via Accumulating Sample Strategy.

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Efficient Distributed Hessian Free Algorithm for Large-scale Empirical Risk Minimization via Accumulating Sample Strategy.