Bayesian optimisation for fast approximate inference in state-space models with intractable likelihoods
-
Updated
Nov 29, 2017 - Python
Bayesian optimisation for fast approximate inference in state-space models with intractable likelihoods
Gaussian Process approximator in Bayesian inverse problems (MCMC)
Implementation of Ada-BKB a scalable Gaussian Process bandit optimization algorithm
Add a description, image, and links to the gaussian-process-optimisation topic page so that developers can more easily learn about it.
To associate your repository with the gaussian-process-optimisation topic, visit your repo's landing page and select "manage topics."