Other topics#
Other topics which we covered (I will be adding these materials to the online version soon):
Bayesian regularisation from optimisation perspective
Laplace approximation
Bayesian optimisation
Kronecker product (is already partially covered in “LGCP” chapter)
Log-Gaussian Cox process (LGCP) (is already partially covered in “LGCP” chapter)
Renewal equation
Hilbert Space Gaussian Process approximation (HSGP)
Active learning
Variational autoencoders (VAEs)
Further interesting topics which we did not have time for (but I might add an online version in the future):
Hidden Markov Models, in detail
Variational inference
Bayesian neural networks