Qiujiang Jin, Alec Koppel, Ketan Rajawat, Aryan Mokhtari. Sharpened Quasi-Newton Methods: Faster Superlinear Rate and Larger Local Convergence Neighborhood. In Kamalika Chaudhuri, Stefanie Jegelka, Le Song, Csaba Szepesvári, Gang Niu 0001, Sivan Sabato, editors, International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA. Volume 162 of Proceedings of Machine Learning Research, pages 10228-10250, PMLR, 2022. [doi]
@inproceedings{JinKRM22,
title = {Sharpened Quasi-Newton Methods: Faster Superlinear Rate and Larger Local Convergence Neighborhood},
author = {Qiujiang Jin and Alec Koppel and Ketan Rajawat and Aryan Mokhtari},
year = {2022},
url = {https://proceedings.mlr.press/v162/jin22b.html},
researchr = {https://researchr.org/publication/JinKRM22},
cites = {0},
citedby = {0},
pages = {10228-10250},
booktitle = {International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA},
editor = {Kamalika Chaudhuri and Stefanie Jegelka and Le Song and Csaba Szepesvári and Gang Niu 0001 and Sivan Sabato},
volume = {162},
series = {Proceedings of Machine Learning Research},
publisher = {PMLR},
}