Help/Resources with/for Bayesian Optimization

Hello all,

I want to implement Bayesian Optimization like described in the paper "Active Preference Learning with Discrete Choice Data" - by Eric Brochu, Nando de Freitas and Abhijeet Ghosh (http://machinelearning.wustl.edu/mlpapers/paper_files/NIPS2007_902.pdf). Unfortunately it seems like it is too much for me right now, I seem to miss a lot of knowledge in GP and Statistics.

Does anyone have any resources that could help understanding Bayesian Optimization better? Or, perhaps even an implementation of the referenced paper?

Thank you very much.