This approach starts with an empty set of samples, S = {}, and iteratively samples factors without replacement to add to S, until the confidence interval around the estimated mean falls below a user specified maximum interval width threshold i.
for proposals that contain high-variance factors, this strategy examines a large number of factors, while proposals that involve similar factors will result in fewer samples.