bayesian-inference

Identifiable Mixtures of Sparse Variational Gaussian Process Experts

This work introduces a variational lower bound for the Mixture of Gaussian Process Experts model with a GP-based gating network based on sparse GPs. The model (and inference) are implemented in GPflow/TensorFlow.

Gaussian Process Regression

This post introduces the theory underpinning Gaussian process regression and provides a basic walk-through in python.