Learning between the peaks: sharp asymptotics for kernel ridge regression under power-law anisotropy
Together, the results clarify how the input geometry shapes the kernel features and fundamentally impacts its generalization properties and clarify how the input geometry shapes the kernel features and fundamentally impacts its generalization properties.
L. Rizzi, Arie Wortsman Zurich, Bruno Loureiro
· 0 citations