Minimization by incremental stochastic surrogate optimization for large scale nonconvex problems. Karimi, B., Wai, H., Moulines, E., & Li, P. In International Conference on Algorithmic Learning Theory, pages 606–637, 2022. PMLR.
Minimization by incremental stochastic surrogate optimization for large scale nonconvex problems [link]Paper  bibtex   
@inproceedings{karimi2022minimization,
	author = {Karimi, Belhal and Wai, Hoi-To and Moulines, Eric and Li, Ping},
	booktitle = {International Conference on Algorithmic Learning Theory},
	keywords = {Stochastic Algorithms},
	organization = {PMLR},
	pages = {606--637},
	title = {Minimization by incremental stochastic surrogate optimization for large scale nonconvex problems},
	url_paper = {https://proceedings.mlr.press/v167/karimi22a.html},
	year = {2022}}

Downloads: 0