Rina Foygel Barber
Rina Foygel Barber
Verified email at uchicago.edu - Homepage
Cited by
Cited by
Extended Bayesian information criteria for Gaussian graphical models
R Foygel, M Drton
Advances in neural information processing systems, 604-612, 2010
Controlling the false discovery rate via knockoffs
RF Barber, EJ Candès
The Annals of Statistics 43 (5), 2055-2085, 2015
Sparse Prediction with the -Support Norm
A Argyriou, R Foygel, N Srebro
Advances in Neural Information Processing Systems, 1457-1465, 2012
Corrupted sensing: Novel guarantees for separating structured signals
R Foygel, L Mackey
IEEE Transactions on Information Theory 60 (2), 1223-1247, 2014
Acoustical cues and grammatical units in speech to two preverbal infants
M Soderstrom, M Blossom, R Foygel, JL Morgan
Journal of Child Language 35 (4), 869-902, 2008
An algorithm for constrained one-step inversion of spectral CT data
RF Barber, EY Sidky, TG Schmidt, X Pan
Physics in Medicine & Biology 61 (10), 3784, 2016
Concentration-based guarantees for low-rank matrix reconstruction
R Foygel, N Srebro
Proceedings of the 24th Annual Conference on Learning Theory, 315-340, 2011
High-dimensional Ising model selection with Bayesian information criteria
RF Barber, M Drton
Electronic Journal of Statistics 9 (1), 567-607, 2015
A knockoff filter for high-dimensional selective inference
RF Barber, EJ Candès
arXiv preprint arXiv:1602.03574, 2016
Global identifiability of linear structural equation models
M Drton, R Foygel, S Sullivant
The Annals of Statistics 39 (2), 865-886, 2011
Multiple testing with the structure‐adaptive Benjamini–Hochberg algorithm
A Li, RF Barber
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2019
Half-trek criterion for generic identifiability of linear structural equation models
R Foygel, J Draisma, M Drton
The Annals of Statistics 40 (3), 1682-1713, 2012
Learning with the weighted trace-norm under arbitrary sampling distributions
R Foygel, O Shamir, N Srebro, RR Salakhutdinov
Advances in Neural Information Processing Systems, 2133-2141, 2011
Bayesian model choice and information criteria in sparse generalized linear models
R Foygel, M Drton
arXiv preprint arXiv:1112.5635, 2011
A unified treatment of multiple testing with prior knowledge using the p-filter
AK Ramdas, RF Barber, MJ Wainwright, MI Jordan
The Annals of Statistics 47 (5), 2790-2821, 2019
Eigenprism: inference for high dimensional signal-to-noise ratios
L Janson, RF Barber, E Candes
Journal of the Royal Statistical Society. Series B, Statistical methodology …, 2017
Accumulation tests for FDR control in ordered hypothesis testing
A Li, RF Barber
Journal of the American Statistical Association 112 (518), 837-849, 2017
Long-term accumulation of carbonate shells reflects a 100-fold drop in loss rate
A Tomašových, SM Kidwell, RF Barber, DS Kaufman
Geology 42 (9), 819-822, 2014
The p-filter: multi-layer FDR control for grouped hypotheses
RF Barber, A Ramdas
arXiv preprint arXiv:1512.03397, 2015
Rocket: Robust confidence intervals via kendall’s tau for transelliptical graphical models
RF Barber, M Kolar
The Annals of Statistics 46 (6B), 3422-3450, 2018
The system can't perform the operation now. Try again later.
Articles 1–20