Empirical Inference
Conference Paper
2025
Avoiding spurious sharpness minimization broadens applicability of SAM
arXiv
| Author(s): | Singh, S. P. and Mobahi, H. and Agarwala, A. and Dauphin, Y. |
| Links: | |
| Book Title: | Proceedings of the 42nd International Conference on Machine Learning (ICML) |
| Volume: | 267 |
| Pages: | 55702--55719 |
| Year: | 2025 |
| Month: | July |
| Series: | Proceedings of Machine Learning Research |
| Editors: | Singh, Aarti and Fazel, Maryam and Hsu, Daniel and Lacoste-Julien, Simon and Berkenkamp, Felix and Maharaj, Tegan and Wagstaff, Kiri and Zhu, Jerry |
| Publisher: | PMLR |
| BibTeX Type: | Conference Paper (conference) |
| Event Name: | International Conference on Machine Learning |
| Event Place: | Vancouver Convention Center |
| State: | Published |
| URL: | https://proceedings.mlr.press/v267/singh25b.html |
BibTeX
@conference{SinMobAgaDau25,
title = {Avoiding spurious sharpness minimization broadens applicability of SAM},
booktitle = {Proceedings of the 42nd International Conference on Machine Learning (ICML)},
volume = {267},
pages = {55702--55719},
series = {Proceedings of Machine Learning Research},
editors = {Singh, Aarti and Fazel, Maryam and Hsu, Daniel and Lacoste-Julien, Simon and Berkenkamp, Felix and Maharaj, Tegan and Wagstaff, Kiri and Zhu, Jerry},
publisher = {PMLR},
month = jul,
year = {2025},
author = {Singh, S. P. and Mobahi, H. and Agarwala, A. and Dauphin, Y.},
url = {https://proceedings.mlr.press/v267/singh25b.html},
month_numeric = {7}
}