Frei, Spencer, and Gu, Quanquan. Proxy Convexity: A Unified Framework for the Analysis of Neural Networks Trained by Gradient Descent. Retrieved from https://par.nsf.gov/biblio/10313155. Advances in neural information processing systems .
Frei, Spencer, & Gu, Quanquan. Proxy Convexity: A Unified Framework for the Analysis of Neural Networks Trained by Gradient Descent. Advances in neural information processing systems, (). Retrieved from https://par.nsf.gov/biblio/10313155.
Frei, Spencer, and Gu, Quanquan.
"Proxy Convexity: A Unified Framework for the Analysis of Neural Networks Trained by Gradient Descent". Advances in neural information processing systems (). Country unknown/Code not available. https://par.nsf.gov/biblio/10313155.
@article{osti_10313155,
place = {Country unknown/Code not available},
title = {Proxy Convexity: A Unified Framework for the Analysis of Neural Networks Trained by Gradient Descent},
url = {https://par.nsf.gov/biblio/10313155},
abstractNote = {},
journal = {Advances in neural information processing systems},
author = {Frei, Spencer and Gu, Quanquan},
}
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