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stat.ME2026
Ridge Boosting is Both Robust and Efficient
David Bruns-Smith, Zhongming Xie, Avi Feller
Estimators in statistics and machine learning must typically trade off between efficiency, having low variance for a fixed target, and distributional robustness, such as multiaccur…
stat.ME2024
Augmented balancing weights as linear regression
David Bruns-Smith, Oliver Dukes, Avi Feller +1
We provide a novel characterization of augmented balancing weights, also known as automatic debiased machine learning (AutoDML). These popular doubly robust or de-biased machine le…