Iterative regularization for learning with convex loss functions
We consider the problem of supervised learning with convex loss functions and propose a new form of iterative regularization based on the subgradient method. Unlike other regularization approaches, in iterative regularization no constraint or penalization is considered, and generalization is achieve...
| Hlavní autoři: | , , |
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| Další autoři: | |
| Médium: | Článek |
| Vydáno: |
JMLR, Inc.
2018
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| On-line přístup: | http://hdl.handle.net/1721.1/116303 https://orcid.org/0000-0001-6376-4786 |