Amogh Inamdar

QuEst: Enhancing Estimates of Quantile-Based Distributional Measures Using Model Predictions

As machine learning models grow increasingly competent, their predictions can supplement scarce or expensive data in various important domains. In support of this paradigm, algorithms have emerged to combine a small amount of high-fidelity observed data with a much larger set of imputed model output…