Learning inducing points and uncertainty on molecular data by scalable variational Gaussian processes

Mikhail Tsitsvero, Mingoo Jin, Andrey Lyalin

Uncertainty control and scalability to large datasets are the two main issues for the deployment of Gaussian process (GP) models within the autonomous machine learning-based predic…