PriorRegression
GP Regression (RBF)
y ~ GP(0, k_RBF(x, x'))
Müller et al.
Functions sampled from a Gaussian Process with an RBF kernel. PFN learns to do GP regression at inference without solving the kernel system.
y ~ GP(0, k_RBF(x, x'))
Functions sampled from a Gaussian Process with an RBF kernel. PFN learns to do GP regression at inference without solving the kernel system.