Benign overfitting and noisy features
Modern machine learning often operates in the regime where the number of parameters is much higher than the number of data points, with zero training loss and yet good generalization, thereby contradicting the classical bias-variance trade-off. This \textit{benign overfitting} phenomenon has recentl...
| Main Authors: | , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
Taylor and Francis
2022
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