Abstract: This disclosure describes techniques for calibrating parameters for a model of interest. In one example, this disclosure describes identifying, based on a textual description, a model that generates an output based on a set of inputs; selecting a first plurality of parameter values; assembling a set of training samples by observing outputs generated by the model in response to each of the first plurality of parameter values; training a surrogate model, wherein the surrogate model is trained to predict outputs of the model; generating, using the surrogate model, predicted outputs of the model, wherein each of the predicted outputs of the model is based on a different parameter value in a second plurality of parameter values; selecting, based on the predicted outputs of the model, a desired parameter value; and applying the model, using the desired parameter value, to predict a value of interest for an input value.