Chained generalisation bounds
This work discusses how to derive upper bounds for the expected generalisation error of supervised learning algorithms by means of the chaining technique. By developing a general theoretical framework, we establish a duality between generalisation bounds based on the regularity of the loss function,...
| Main Authors: | , , , |
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| Format: | Conference item |
| Language: | English |
| Published: |
Proceedings of Machine Learning Research
2022
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