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.
HyLo: A Hybrid Low-Rank Natural Gradient Descent Method [link]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}
}

Downloads: 0