Katyusha: the first direct acceleration of stochastic gradient methods-Reference-Cited by-同舟云学术

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Katyusha: the first direct acceleration of stochastic gradient methods

Published:2017-06-19 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 49th Annual ACM SIGACT Symposium on Theory of Computing
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Author:

Allen-Zhu Zeyuan¹

Affiliation:

1. IAS, USA / Princeton University, USA

Funder

Microsoft

NSF

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3055399.3055448

Reference47 articles.

1. Zeyuan Allen-Zhu and Yuanzhi Li. Doubly Accelerated Methods for Faster CCA and Generalized Eigendecomposition. ArXiv e-prints abs/1607.06017 July 2016. Zeyuan Allen-Zhu and Yuanzhi Li. Doubly Accelerated Methods for Faster CCA and Generalized Eigendecomposition. ArXiv e-prints abs/1607.06017 July 2016.

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