Sampling Bias Correction for Supervised Machine Learning: A Bayesian Inference Approach with Practical Applications

Max Sklar

Given a supervised machine learning problem where the training set has been subject to a known sampling bias, how can a model be trained to fit the original dataset? We achieve thi…