Vectorizing ARD (Automatic Relevance Determination) kernel implementation in Gaussian processes...

Questions about Bayesian GP-LVM implementation details...

importing likelihoods fails...

GPflow 2 custom kernel construction: fine upon construction, but kernel of size None in optimization...

Can I specify different kernels for different data types in GPflow?...

Different results when optimizing hyperparameter for a Gaussian process regression...

Marginal Likelihood optimization with python...

Problem reproducing the predicted covariance of a gaussian process using gpytorch with same hyperpar...

Is there a way to define a 'heterogeneous' kernel design to incorporate linear operators int...

Optimise custom gaussian processes kernel in scikit using gridsearch...

Error in using Gaussian Process regression in sklearn python...

Gaussian process with 2D feature array as input - scikit-learn...