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