Deep Learning, Gaussian Process, Active Learning, Bayesian Optimization.
gradient ascent on marginal log-likelihood. The DKL output on the new inputs is the expected value and associated uncertainty for the property (or properties, if we are interested in vector-valued functions) of interest. Let’s see how we can harness DKL to run experiments on the electron or