This modification allows us to only bias the search away from areas which the classifier believes are infeasible. In other words, all parameter space regions with P (feasible|x) ≥ 0.5 are treated as equally promising in the eyes on the classification surrogate. Empirically, we have found this approach to be an effective safeguard against becoming trapped in regions of X that have P (feasible|x) ≈ 1. The reader is referred to SI Sec. S.1 A 3 for the results of these comparative experiments. For the duration of this work, the FIA and FWA acquisitions use the minimum filtered variant, unless otherwise specified.