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Taming the Wild: A Unified Analysis of Hogwild!-Style Algorithms

Stochastic gradient descent (SGD) is a ubiquitous algorithm for a variety of machine learning problems. Researchers and industry have developed several techniques to optimize SGD’s runtime performance, including asynchronous execution and reduced precision. Our main result is a martingale-based anal...

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Bibliografski detalji
Izdano u:Adv Neural Inf Process Syst
Glavni autori: De Sa, Christopher, Zhang, Ce, Olukotun, Kunle, Ré, Christopher
Format: Artigo
Jezik:Inglês
Izdano: 2015
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC4907892/
https://ncbi.nlm.nih.gov/pubmed/27330264
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