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stat.ML2022
Relative Probability on Finite Outcome Spaces: A Systematic Examination of its Axiomatization, Properties, and Applications
Max Sklar
This work proposes a view of probability as a relative measure rather than an absolute one. To demonstrate this concept, we focus on finite outcome spaces and develop three fundame…
stat.ML2022
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…