3 citations · 3 across the 1 of their papers we have counts for
2 papers
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…