Posts Tagged ‘Bayesian Optimization’

I attended the Bayesian Optimization workshop at NIPS 2015, and the following summarizes what was going on in the workshop from my perspective. This post primarily serves my self-interest in not losing these notes. But it may be useful for others as well.



The workshop was effectively run by Bobak Shahriari and Roberto Calandra. In the beginning of the workshop, Bobak Shahriari was giving a brief introduction to Bayesian Optimization (BO), motivating the entire setting of data-efficient global black-box optimization and the gap that this workshop will address. (more…)

I just returned from the Gaussian Process Summer School in Sheffield, followed by a Workshop on Bayesian Optimization. The aim of the GPSS was to expose people to Gaussian processes. This was done by some introductory lectures on GP regression, followed by some generalizations (e.g., classification, the GP-LVM, sparse GPs, Bayesian optimization) and some talks on current GP research.