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stat.CO2022★ 1 cited
Equispaced Fourier representations for efficient Gaussian process regression from a billion data points
Philip Greengard, Manas Rachh, Alex Barnett
We introduce a Fourier-based fast algorithm for Gaussian process regression in low dimensions. It approximates a translationally-invariant covariance kernel by complex exponentials…
math.NA2022
On a linearization of quadratic Wasserstein distance
Philip Greengard, Jeremy G. Hoskins, Nicholas F. Marshall +1
This paper studies the problem of computing a linear approximation of quadratic Wasserstein distance . In particular, we compute an approximation of the negative homogeneous w…