Empirical Inference
Conference Paper
2020
A Continuous-time Perspective for Modeling Acceleration in Riemannian Optimization
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}, slug = {aliorvbecluc20b}, author = {F Alimisis, F. and Orvieto, A. and Becigneul, G. and Lucchi, A.}, url = {http://proceedings.mlr.press/v108/alimisis20a.html}, month_numeric = {8} }