Robust regression with covariate filtering: Heavy tails and adversarial contamination
Author:
Affiliation:
1. Simons Institute for the Theory of Computing
2. University of Cambridge
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/01621459.2024.2392906
Reference52 articles.
1. [AC11] J.-Y. Audibert and O. Catoni. Robust linear least squares regression. The Annals of Statistics 39(5):2766–2794 October 2011.
2. [BDLS17] S. Balakrishnan S. S. Du J. Li and A. Singh. Computationally efficient robust sparse estimation in high dimensions. In Proceedings of the 30th Conference on Learning Theory COLT 2017.
3. [BJK15] K. Bhatia P. Jain and P. Kar. Robust regression via hard thresholding. In Advances in Neural Information Processing Systems 28 NeurIPS 2015.
4. [BJKK17] K. Bhatia P. Jain P. Kamalaruban and P. Kar. Consistent robust regression. In Advances in Neural Information Processing Systems 30 NeurIPS 2017.
5. [BP21] A. Bakshi and A. Prasad. Robust linear regression: Optimal rates in polynomial time. In Proc. 53rd Annual ACM Symposium on Theory of Computing (STOC) 2021.
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