Upcoming chapters

Other topics which are covered in the course, but the corresponding chapters are not yet online and are to appear:

• [x] Surrogates

• [ ] Neural networks with Flax

• [ ] Bayesian neural networks

• [ ] So, why Numpyro?

• [ ] Variational inference

• [ ] Introduction to deep generative models

• [ ] Variational autoencoders (VAEs), normalising flows (NFs)

• [ ] Deep generative surrogates and PriorCVAE

Further interesting topics which the course might not have time to cover (but I might add them to the online version in the future):

• Bayesian regularisation from optimisation perspective

• Laplace approximation

• Bayesian optimisation

• Active learning

• Renewal equation

• Hilbert Space Gaussian Process approximation (HSGP)