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R. Barber

63 papers hereh-index 335.6k citations91 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • first author20
  • middle author20
  • last author22

Across the 63 of 63 papers where every author was matched, so the position is known.

fields
  • stat.ME32
  • math.ST20
  • math.OC5
  • physics.med-ph3
  • stat.ML2
  • cs.LG1
same name
  • R. Barber — 14 papers, h 23
  • R. Barber — 2 papers, h 16
  • R. Barber — 1 paper, h 27
  • R. Barber — 1 paper, h 0

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20142026
most citedControlling the false discovery rate via knockoffs

575 citations · 929 across the 52 of their papers we have counts for

collaborators
Showing 2018 · stat.MEShow all

4 papers · 2 filters

stat.ME2018

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…

stat.ME2018

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 X and Y given a potentially high-dimensional random vec…

stat.ME2018★ 9 cited

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…

stat.ME2018

Robust inference with knockoffs

Rina Foygel Barber, Emmanuel J. Candès, Richard J. Samworth

We consider the variable selection problem, which seeks to identify important variables influencing a response Y out of many candidate features X1​,…,Xp​. We wish to do…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.