Characterization of the equivalence of robustification and regularization in linear and matrix regression
The notion of developing statistical methods in machine learning which are robust to adversarial perturbations in the underlying data has been the subject of increasing interest in recent years. A common feature of this work is that the adversarial robustification often corresponds exactly to regula...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Elsevier BV
2022
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| Online Access: | https://hdl.handle.net/1721.1/135747.2 |