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# Upcoming chapters | ||
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Other topics which are covered in the course, but the corresponding chapters are not yet online and are to appear: | ||
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- [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 | ||
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Further interesting topics which the course might not have time to cover (but I might add them to the online version in the future): | ||
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- Bayesian regularisation from optimisation perspective | ||
- Laplace approximation | ||
- Bayesian optimisation | ||
- Active learning | ||
- Renewal equation | ||
- Hilbert Space Gaussian Process approximation (HSGP) |
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