Empirical Inference
Empirical Inference
| Author(s): | Zhu, J.-J. and Kouridi, C. and Nemmour, Y. and Schölkopf, B. |
| Links: | |
| Book Title: | Proceedings of the 25th International Conference on Artificial Intelligence and Statistics |
| Volume: | 151 |
| Pages: | 4972--4994 |
| Year: | 2022 |
| Month: | March |
| Series: | Proceedings of Machine Learning Research |
| Editors: | Camps-Valls, Gustau and Ruiz, Francisco J. R. and Valera, Isabel |
| Publisher: | PMLR |
| Project(s): |
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| BibTeX Type: | Conference Paper (conference) |
| Event Name: | 25th International Conference on Artificial Intelligence and Statistics (AISTATS 2022) |
| Event Place: | Virtual Conference |
| State: | Published |
| URL: | https://proceedings.mlr.press/v151/zhu22d.html |
| Electronic Archiving: | grant_archive |
BibTeX
@conference{ZhuNemSch21,
title = {Adversarially Robust Kernel Smoothing},
booktitle = {Proceedings of the 25th International Conference on Artificial Intelligence and Statistics},
volume = {151},
pages = {4972--4994},
series = {Proceedings of Machine Learning Research},
editors = {Camps-Valls, Gustau and Ruiz, Francisco J. R. and Valera, Isabel},
publisher = {PMLR},
month = mar,
year = {2022},
author = {Zhu, J.-J. and Kouridi, C. and Nemmour, Y. and Sch{\"o}lkopf, B.},
url = {https://proceedings.mlr.press/v151/zhu22d.html},
month_numeric = {3}
}