Empirical Inference
Conference Paper
2020
A Continuous-time Perspective for Modeling Acceleration in Riemannian Optimization
Empirical Inference
| Author(s): | F Alimisis, F. and Orvieto, A. and Becigneul, G. and Lucchi, A. |
| Book Title: | Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics (AISTATS) |
| Volume: | 108 |
| Pages: | 1297--1307 |
| Year: | 2020 |
| Month: | August |
| Series: | Proceedings of Machine Learning Research |
| Editors: | Silvia Chiappa and Roberto Calandra |
| Publisher: | PMLR |
| BibTeX Type: | Conference Paper (conference) |
| Event Place: | Virtual Conference |
| State: | Published |
| URL: | http://proceedings.mlr.press/v108/alimisis20a.html |
| Electronic Archiving: | grant_archive |
BibTeX
@conference{AliOrvBecLuc20b,
title = {A Continuous-time Perspective for Modeling Acceleration in Riemannian Optimization},
booktitle = {Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics (AISTATS)},
volume = {108},
pages = {1297--1307},
series = {Proceedings of Machine Learning Research},
editors = {Silvia Chiappa and Roberto Calandra},
publisher = {PMLR},
month = aug,
year = {2020},
author = {F Alimisis, F. and Orvieto, A. and Becigneul, G. and Lucchi, A.},
url = {http://proceedings.mlr.press/v108/alimisis20a.html},
month_numeric = {8}
}