Deep Learning, Gaussian Process, Active Learning, Bayesian Optimization.
function over certain (low dimensional) parameter space from a set of sparse measurements. In other words, given a set of observed data points (xᵢ, yᵢ) and assuming normally distributed observation noise ϵ, the GP aims to reconstruct the function f(x) such as yᵢ= f(xᵢ) + ϵᵢ, with f ~