61 citations · 327 across the 24 of their papers we have counts for
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math.ST2023★ 1 cited
Pointwise uncertainty quantification for sparse variational Gaussian process regression with a Brownian motion prior
Luke Travis, Kolyan Ray
We study pointwise estimation and uncertainty quantification for a sparse variational Gaussian process method with eigenvector inducing variables. For a rescaled Brownian motion pr…
math.ST2023★ 2 cited
Semiparametric inference using fractional posteriors
Alice L'Huillier, Luke Travis, Ismaël Castillo +1
We establish a general Bernstein--von Mises theorem for approximately linear semiparametric functionals of fractional posterior distributions based on nonparametric priors. This is…