Bayesian optimization (BO) is an efficient method for optimizing expensive black-box functions. In real-world applications, BO often faces a major problem of missing values in inputs. The inputs can happen two cases. First, the historical data training contain values. Second, when performing function evaluation (e.g., computing alloy strength heat treatment process), errors may occur thermostat...