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08/19/2022
Improving knockoffs with conditional calibration
The knockoff filter of Barber and Candes (arXiv:1404.5609) is a flexible...
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08/13/2022
Machine learning meets false discovery rate
Classical false discovery rate (FDR) controlling procedures offer strong...
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10/03/2021
Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control
We introduce Learn then Test, a framework for calibrating machine learni...
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03/17/2021
Conformalized Survival Analysis
Existing survival analysis techniques heavily rely on strong modelling a...
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04/30/2020
Consistency of Spectral Clustering on Hierarchical Stochastic Block Models
We propose a generic network model, based on the Stochastic Block Model,...
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06/20/2018
Regression adjustment in randomized experiments with a diverging number of covariates
Extending R. A. Fisher and D. A. Freedman's results on the analysis of c...
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11/07/2017
