David Madras

Understanding challenges to the interpretation of disaggregated evaluations of algorithmic fairness

Regression for the Mean: Auto-Evaluation and Inference with Few Labels through Post-hoc Regression

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

Out of the Ordinary: Spectrally Adapting Regression for Covariate Shift

Learning and Forgetting Unsafe Examples in Large Language Models