Davis, Damek, Drusvyatskiy, Dmitriy, Lee, Yin Tat, Padmanabhan, Swati, and Ye, Guanghao. A gradient sampling method with complexity guarantees for Lipschitz functions in high and low dimensions. Retrieved from https://par.nsf.gov/biblio/10417869. Advances in neural information processing systems .
Davis, Damek, Drusvyatskiy, Dmitriy, Lee, Yin Tat, Padmanabhan, Swati, & Ye, Guanghao. A gradient sampling method with complexity guarantees for Lipschitz functions in high and low dimensions. Advances in neural information processing systems, (). Retrieved from https://par.nsf.gov/biblio/10417869.
Davis, Damek, Drusvyatskiy, Dmitriy, Lee, Yin Tat, Padmanabhan, Swati, and Ye, Guanghao.
"A gradient sampling method with complexity guarantees for Lipschitz functions in high and low dimensions". Advances in neural information processing systems (). Country unknown/Code not available. https://par.nsf.gov/biblio/10417869.
@article{osti_10417869,
place = {Country unknown/Code not available},
title = {A gradient sampling method with complexity guarantees for Lipschitz functions in high and low dimensions},
url = {https://par.nsf.gov/biblio/10417869},
abstractNote = {},
journal = {Advances in neural information processing systems},
author = {Davis, Damek and Drusvyatskiy, Dmitriy and Lee, Yin Tat and Padmanabhan, Swati and Ye, Guanghao},
}
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