“…Bayesian optimization on structured domains, which is distinct from a vector-based Bayesian optimization (Moćkus et al, 1978;Jones et al, 1998), attracts considerable attention from Bayesian optimization community, due to its potential on novel practical applications such as sensor set selection (Garnett et al, 2010), hyperparameter optimization (Hutter et al, 2011;Wang et al, 2016), aero-structural problem (Baptista and Poloczek, 2018), clustering initialization (Kim et al, 2019), and neural architecture search (Oh et al, 2019). This line of research discovers a new formulation of Bayesian optimization tasks, by defining surrogate models and acquisition functions on structured domains.…”