575 citations · 929 across the 52 of their papers we have counts for
6 papers · 1 filter
Conformalized survival analysis with adaptive cutoffs
Yu Gui, Rohan Hore, Zhimei Ren +1
This paper introduces an assumption-lean method that constructs valid and efficient lower predictive bounds (LPBs) for survival times with censored data. We build on recent work by…
Derandomized knockoffs: leveraging e-values for false discovery rate control
Zhimei Ren, Rina Foygel Barber
Model-X knockoffs is a flexible wrapper method for high-dimensional regression algorithms, which provides guaranteed control of the false discovery rate (FDR). Due to the randomnes…
Training-conditional coverage for distribution-free predictive inference
Michael Bian, Rina Foygel Barber
The field of distribution-free predictive inference provides tools for provably valid prediction without any assumptions on the distribution of the data, which can be paired with a…
Permutation tests using arbitrary permutation distributions
Aaditya Ramdas, Rina Foygel Barber, Emmanuel J. Candes +1
Permutation tests date back nearly a century to Fisher's randomized experiments, and remain an immensely popular statistical tool, used for testing hypotheses of independence betwe…
Conformal prediction beyond exchangeability
Rina Foygel Barber, Emmanuel J. Candes, Aaditya Ramdas +1
Conformal prediction is a popular, modern technique for providing valid predictive inference for arbitrary machine learning models. Its validity relies on the assumptions of exchan…
Half-Trek Criterion for Identifiability of Latent Variable Models
Rina Foygel Barber, Mathias Drton, Nils Sturma +1
We consider linear structural equation models with latent variables and develop a criterion to certify whether the direct causal effects between the observable variables are identi…