asymptotic analysis 1Benjamini-Hochberg 1false discovery rate 1gaussian correlation 1multiple testing 1
From the 1 of 5 linked papers with an AI index.
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stat.ME2026
Learning from a Biased Sample
Roshni Sahoo, Lihua Lei, Stefan Wager
The empirical risk minimization approach to data-driven decision making requires access to training data drawn under the same conditions as those that will be faced when the decisi…
stat.ME2025
Conformal Risk Control
Anastasios N. Angelopoulos, Stephen Bates, Adam Fisch +2
We extend conformal prediction to control the expected value of any monotone loss function. The algorithm generalizes split conformal prediction together with its coverage guarante…
stat.ME2024
Improving knockoffs with conditional calibration
Yixiang Luo, William Fithian, Lihua Lei
The knockoff filter of Barber and Candes (arXiv:1404.5609) is a flexible framework for multiple testing in supervised learning models, based on introducing synthetic predictor vari…