Impactful applications such as materials discovery, hardware design, neu...
Recent advances have extended the scope of Bayesian optimization (BO) to...
The global optimization of a high-dimensional black-box function under
b...
Bayesian optimization is a powerful tool for expensive stochastic black-...
The problem of exploration in unknown environments continues to pose a
c...
Bayesian optimization has recently emerged as a popular method for the
s...
The optimization of expensive-to-evaluate black-box functions over
combi...
Bayesian optimization has been successful at global optimization of
expe...
We develop a framework for warm-starting Bayesian optimization, that red...
We consider Bayesian optimization of an expensive-to-evaluate black-box
...