3 citations · 3 across the 2 of their papers we have counts for
3 papers
math.ST2023
Adaptation using spatially distributed Gaussian Processes
Botond Szabo, Amine Hadji, Aad van der Vaart
We consider the accuracy of an approximate posterior distribution in nonparametric regression problems by combining posterior distributions computed on subsets of the data defined…
math.ST2022★ 3 cited
Optimal recovery and uncertainty quantification for distributed Gaussian process regression
Amine Hadji, Tammo Hesselink, Botond Szabó
Gaussian Processes (GP) are widely used for probabilistic modeling and inference for nonparametric regression. However, their computational complexity scales cubicly with the sampl…
math.ST2019
Can we trust Bayesian uncertainty quantification from Gaussian process priors with squared exponential covariance kernel?
Amine Hadji, Botond Szábo
We investigate the frequentist coverage properties of credible sets resulting in from Gaussian process priors with squared exponential covariance kernel. First we show that by sele…