Author

Kunal Dutta

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#machine learning Preprint Sep 2026

Low-Dimensional Embeddings for Gaussian Kernels on Manifolds

The Gaussian kernel is a widely used similarity measure underlying kernel methods such as kernel PCA and spectral clustering, but computing Gaussian kernel distances for many pairs of points can be expensive. Using Random Fourier Features (RFF), Chen and Phillips [ALT 2017] showed that for points in a $d$-dimensional E...

Soumik Dutta, Kunal Dutta · 0 citations