Other topics

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