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The Ethereal
On the Ineffectiveness of Variance Reduced Optimization for Deep Learning
December 11, 2018 ยท Declared Dead ยท ๐ Neural Information Processing Systems
"No code URL or promise found in abstract"
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Authors
Aaron Defazio, Lรฉon Bottou
arXiv ID
1812.04529
Category
cs.LG: Machine Learning
Cross-listed
stat.ML
Citations
123
Venue
Neural Information Processing Systems
Last Checked
3 months ago
Abstract
The application of stochastic variance reduction to optimization has shown remarkable recent theoretical and practical success. The applicability of these techniques to the hard non-convex optimization problems encountered during training of modern deep neural networks is an open problem. We show that naive application of the SVRG technique and related approaches fail, and explore why.
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