Publications · Conference paper · NeurIPS 2019
A universally optimal multistage accelerated stochastic gradient method
Advances in Neural Information Processing Systems (NeurIPS), 32, pp. 8523–8534, 2019.
Cite
@inproceedings{aybat2019multistage,
title = {A universally optimal multistage accelerated stochastic gradient method},
author = {Necdet Serhat Aybat and Alireza Fallah and Mert Gürbüzbalaban and Asuman Ozdaglar},
year = {2019},
booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
volume = {32},
pages = {8523--8534},
url = {https://proceedings.neurips.cc/paper/2019/hash/d630553e32ae21fb1a6df39c702d2c5c-Abstract.html},
note = {arXiv:1901.08022},
}Relatedsame topics