Wasserstein Barycenter Gaussian Process based Bayesian Optimization

Antonio Candelieri, Andrea Ponti, Francesco Archetti

Gaussian Process based Bayesian Optimization is a widely applied algorithm to learn and optimize under uncertainty, well-known for its sample efficiency. However, recently -- and m…