26 citations · 54 across the 24 of their papers we have counts for
8 papers · 1 filter
On the Construction of Knockoffs in Case-Control Studies
Rina Foygel Barber, Emmanuel Candes
Consider a case-control study in which we have a random sample, constructed in such a way that the proportion of cases in our sample is different from that in the general populatio…
An equivalence between critical points for rank constraints versus low-rank factorizations
Wooseok Ha, Haoyang Liu, Rina Foygel Barber
Two common approaches in low-rank optimization problems are either working directly with a rank constraint on the matrix variable, or optimizing over a low-rank factorization so th…
The conditional permutation test for independence while controlling for confounders
Thomas B. Berrett, Yi Wang, Rina Foygel Barber +1
We propose a general new method, the conditional permutation test, for testing the conditional independence of variables and given a potentially high-dimensional random vec…
Prediction Rule Reshaping
Matt Bonakdarpour, Sabyasachi Chatterjee, Rina Foygel Barber +1
Two methods are proposed for high-dimensional shape-constrained regression and classification. These methods reshape pre-trained prediction rules to satisfy shape constraints like…
Estimating the spectrum in computed tomography via Kullback-Leibler divergence constrained optimization
Wooseok Ha, Emil Y. Sidky, Rina Foygel Barber +2
We study the problem of spectrum estimation from transmission data of a known phantom. The goal is to reconstruct an x-ray spectrum that can accurately model the x-ray transmission…
Between hard and soft thresholding: optimal iterative thresholding algorithms
Haoyang Liu, Rina Foygel Barber
Iterative thresholding algorithms seek to optimize a differentiable objective function over a sparsity or rank constraint by alternating between gradient steps that reduce the obje…