Towards a unified analysis of random Fourier features
Random Fourier features is a widely used, simple, and effective technique for scaling up kernel methods. The existing theoretical analysis of the approach, however, remains focused on specific learning tasks and typically gives pessimistic bounds which are at odds with the empirical results. We tack...
| Main Authors: | , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
Journal of Machine Learning Research
2021
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