Tutorials

Introductory

• Introduction to GPflux
• Why GPflux is a modern (deep) GP library
• Deep Gaussian processes with Latent Variables

Advanced

• Deep GP samples
• Hybrid Deep GP models: combining GP and Neural Network layers

Sampling

• Efficient sampling with Gaussian processes and Random Fourier Features
• Weight Space Approximation with Random Fourier Features
• Efficient Posterior Gaussian Process Sampling