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Empirical Inference Conference Paper 2022

Adversarially Robust Kernel Smoothing

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Empirical Inference
Jia-Jie Zhu
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Empirical Inference
Yassine Nemmour
  • Doctoral Researcher
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Empirical Inference
Bernhard Schölkopf
  • Director
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Empirical Inference
Christina Kouridi

Author(s): Zhu, J.-J. and Kouridi, C. and Nemmour, Y. and Schölkopf, B.
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):
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
Links:

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},
  slug = {zhunemsch21},
  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}
}