For interpolating kernel machines, the minimum norm ERM solution is the most stable
We study the average CVloo stability of kernel ridge-less regression and derive corresponding risk bounds. We show that the interpolating solution with minimum norm has the best CVloo stability, which in turn is controlled by the condition number of the empirical kernel matrix. The latter can be cha...
| Main Authors: | , , |
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| Format: | Technical Report |
| Published: |
Center for Brains, Minds and Machines (CBMM)
2020
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| Online Access: | https://hdl.handle.net/1721.1/125927 |