Difan Zou, Jingfeng Wu, Vladimir Braverman, Quanquan Gu, Dean P. Foster, Sham M. Kakade. The Benefits of Implicit Regularization from SGD in Least Squares Problems. In Marc'Aurelio Ranzato, Alina Beygelzimer, Yann N. Dauphin, Percy Liang, Jennifer Wortman Vaughan, editors, Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual. pages 5456-5468, 2021. [doi]
@inproceedings{ZouWBGFK21,
title = {The Benefits of Implicit Regularization from SGD in Least Squares Problems},
author = {Difan Zou and Jingfeng Wu and Vladimir Braverman and Quanquan Gu and Dean P. Foster and Sham M. Kakade},
year = {2021},
url = {https://proceedings.neurips.cc/paper/2021/hash/2b6bb5354a56ce256116b6b307a1ea10-Abstract.html},
researchr = {https://researchr.org/publication/ZouWBGFK21},
cites = {0},
citedby = {0},
pages = {5456-5468},
booktitle = {Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual},
editor = {Marc'Aurelio Ranzato and Alina Beygelzimer and Yann N. Dauphin and Percy Liang and Jennifer Wortman Vaughan},
}