Wasserstein-type Gaussian Process Regressions for Input Measurement Uncertainty

Hengrui Luo, Xiaoye S. Li, Yang Liu +3

Gaussian process (GP) regression is widely used for uncertainty quantification, yet the standard formulation assumes noise-free covariates. When inputs are measured with error, thi…