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A Continuous-time Perspective for Modeling Acceleration in Riemannian Optimization

2020

Conference Paper

ei


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

Department(s): Empirical Inference
Bibtex Type: Conference Paper (conference)

Event Place: Virtual Conference

State: Published
URL: http://proceedings.mlr.press/v108/alimisis20a.html

BibTex

@conference{AliOrvBecLuc20b,
  title = {A Continuous-time Perspective for Modeling Acceleration in Riemannian Optimization},
  author = {F Alimisis, F. and Orvieto, A. and Becigneul, G. and Lucchi, A.},
  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},
  url = {http://proceedings.mlr.press/v108/alimisis20a.html},
  month_numeric = {8}
}