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Maximum Mean Discrepancy for Generalization in the Presence of Distribution and Missingness Shift
Covariate shifts are a common problem in predictive modeling on real-world problems.
Estimation of Corporate Greenhouse Gas Emissions via Machine Learning
By training a machine learning model on disclosed GHG emissions, we are able to estimate the emissions of other companies globally who do not disclose their emissions.
Normalizing Flows for Calibration and Recalibration
One approach to fix this is isotonic regression, in which a monotonic function is fit on a validation set to map the model's CDF to an optimally calibrated CDF.
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