Here, we discuss each of the feasibility-aware acquisition functions, α c (x), considered in this work. These can be further broken down into two main kinds. First, baseline strategies we call naïve, which commonly involve no classification surrogate M c . Secondly, strategies we call hybrid surrogate, which involve training a classification surrogate and combining its predictions in some way with those of the regression surrogate.