NeurIPS 2019
Sun Dec 8th through Sat the 14th, 2019 at Vancouver Convention Center
Paper ID:4340
Title:Solving Interpretable Kernel Dimensionality Reduction

This paper proposes an efficient computation of kernel dimension reduction, extending the previous work [19] to much more general class of kernels. We think this extension has an impact both in theory and practice from the general applicability of the framework.