Jingfeng Wu, Vladimir Braverman, Lin Yang. Obtaining Adjustable Regularization for Free via Iterate Averaging. In Proceedings of the 37th International Conference on Machine Learning, ICML 2020, 13-18 July 2020, Virtual Event. Volume 119 of Proceedings of Machine Learning Research, pages 10344-10354, PMLR, 2020. [doi]
@inproceedings{WuBY20,
title = {Obtaining Adjustable Regularization for Free via Iterate Averaging},
author = {Jingfeng Wu and Vladimir Braverman and Lin Yang},
year = {2020},
url = {http://proceedings.mlr.press/v119/wu20a.html},
researchr = {https://researchr.org/publication/WuBY20},
cites = {0},
citedby = {0},
pages = {10344-10354},
booktitle = {Proceedings of the 37th International Conference on Machine Learning, ICML 2020, 13-18 July 2020, Virtual Event},
volume = {119},
series = {Proceedings of Machine Learning Research},
publisher = {PMLR},
}