Author

John Darges

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Preprint Sep 2026

A Weighted Kernel Method for Approximation that Adapts to Learned Multivariable Structure

This work introduces total sensitivity kernels (TSKs), a method based on families of weighted ANOVA kernels that learn and adapt to this multivariable structure, and establishes consistency of a finite-data formulation based on minimum-norm interpolation.

John E. Darges, Laura Weidensager · 0 citations

#machine learning Preprint Sep 2026

A Weighted Kernel Method for Approximation that Adapts to Learned Multivariable Structure

Approximating the input-output behavior of a multivariable black-box function from limited data is challenging when blind to the importance of its inputs and their interactions. We introduce total sensitivity kernels (TSKs), a method based on families of weighted ANOVA kernels that learn and adapt to this multivariable...

John Darges, Laura Weidensager · 0 citations