Foivos Alimisis, Antonio Orvieto, Gary Bécigneul, Aurélien Lucchi. A Continuous-time Perspective for Modeling Acceleration in Riemannian Optimization. In Silvia Chiappa, Roberto Calandra, editors, The 23rd International Conference on Artificial Intelligence and Statistics, AISTATS 2020, 26-28 August 2020, Online [Palermo, Sicily, Italy]. Volume 108 of Proceedings of Machine Learning Research, pages 1297-1307, PMLR, 2020. [doi]
@inproceedings{AlimisisOBL20,
title = {A Continuous-time Perspective for Modeling Acceleration in Riemannian Optimization},
author = {Foivos Alimisis and Antonio Orvieto and Gary Bécigneul and Aurélien Lucchi},
year = {2020},
url = {http://proceedings.mlr.press/v108/alimisis20a.html},
researchr = {https://researchr.org/publication/AlimisisOBL20},
cites = {0},
citedby = {0},
pages = {1297-1307},
booktitle = {The 23rd International Conference on Artificial Intelligence and Statistics, AISTATS 2020, 26-28 August 2020, Online [Palermo, Sicily, Italy]},
editor = {Silvia Chiappa and Roberto Calandra},
volume = {108},
series = {Proceedings of Machine Learning Research},
publisher = {PMLR},
}