Distributionally Ambiguous Optimization Techniques for Batch Bayesian Optimization

Nikitas Rontsis, Michael A. Osborne, Paul J. Goulart

We propose a novel, theoretically-grounded, acquisition function for Batch Bayesian optimization informed by insights from distributionally ambiguous optimization. Our acquisition…