HyLo: A Hybrid Low-Rank Natural Gradient Descent Method. Mu, B., Soori, S., Can, B., G"urb"uzbalaban, M., & Dehnavi, M. M. In Wolf, F., Shende, S., Culhane, C., Alam, S. R., & Jagode, H., editors, SC22: International Conference for High Performance Computing, Networking, Storage and Analysis, Dallas, TX, USA, November 13-18, 2022, pages 47:1–47:16, 2022. IEEE. Paper doi bibtex @inproceedings{DBLP:conf/sc/MuSCGD22,
author = {Baorun Mu and
Saeed Soori and
Bugra Can and
Mert G{\"{u}}rb{\"{u}}zbalaban and
Maryam Mehri Dehnavi},
editor = {Felix Wolf and
Sameer Shende and
Candace Culhane and
Sadaf R. Alam and
Heike Jagode},
title = {HyLo: {A} Hybrid Low-Rank Natural Gradient Descent Method},
booktitle = {{SC22:} International Conference for High Performance Computing, Networking,
Storage and Analysis, Dallas, TX, USA, November 13-18, 2022},
pages = {47:1--47:16},
publisher = {{IEEE}},
year = {2022},
url = {https://doi.org/10.1109/SC41404.2022.00052},
doi = {10.1109/SC41404.2022.00052},
timestamp = {Wed, 24 May 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/sc/MuSCGD22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
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