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math.ST2022
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…
math.ST2022
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…