Rina Foygel Barber

Rina Foygel Barber's AcademicInfluence.com Rankings

Rina Foygel Barber

Mathematics

#4805

World Rank

#6798

Historical Rank

Statistics

#426

World Rank

#495

Historical Rank

mathematics Degrees

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Mathematics

Rina Foygel Barber's Degrees

PhD Statistics University of California, Berkeley

Why Is Rina Foygel Barber Influential?

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According to Wikipedia, Rina Foygel Barber is an American statistician whose research includes works on the Bayesian statistics of graphical models, false discovery rates, and regularization. She is the Louis Block Professor of statistics at the University of Chicago.

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Rina Foygel Barber's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Controlling the false discovery rate via knockoffs (2014) (610)
Predictive inference with the jackknife+ (2019) (161)
Conformal Prediction Under Covariate Shift (2019) (161)
A knockoff filter for high-dimensional selective inference (2016) (139)
The limits of distribution-free conditional predictive inference (2019) (136)
Multiple testing with the structure‐adaptive Benjamini–Hochberg algorithm (2016) (108)
High-dimensional Ising model selection with Bayesian information criteria (2014) (95)
Robust inference with knockoffs (2018) (86)
The conditional permutation test for independence while controlling for confounders (2018) (81)
A unified treatment of multiple testing with prior knowledge using the p-filter (2017) (75)
EigenPrism: inference for high dimensional signal‐to‐noise ratios (2015) (67)
Accumulation Tests for FDR Control in Ordered Hypothesis Testing (2015) (66)
Privacy and Statistical Risk: Formalisms and Minimax Bounds (2014) (61)
Selective inference for group-sparse linear models (2016) (52)
Long-term accumulation of carbonate shells reflects a 100-fold drop in loss rate (2014) (52)
The knockoff filter for FDR control in group-sparse and multitask regression (2016) (47)
Predictive inference is free with the jackknife+-after-bootstrap (2020) (47)
The p‐filter: multilayer false discovery rate control for grouped hypotheses (2017) (46)
ROCKET: Robust Confidence Intervals via Kendall's Tau for Transelliptical Graphical Models (2015) (44)
Conformal prediction beyond exchangeability (2022) (43)
With Malice Towards None: Assessing Uncertainty via Equalized Coverage (2019) (42)
The function-on-scalar LASSO with applications to longitudinal GWAS (2016) (38)
A Spectral CT Method to Directly Estimate Basis Material Maps From Experimental Photon-Counting Data (2017) (32)
Inferring skeletal production from time-averaged assemblages: skeletal loss pulls the timing of production pulses towards the modern period (2015) (32)
A Power and Prediction Analysis for Knockoffs with Lasso Statistics (2017) (30)
Between hard and soft thresholding: optimal iterative thresholding algorithms (2018) (30)
Gradient descent with nonconvex constraints: local concavity determines convergence (2017) (28)
High-dimensional Linear Discriminant Analysis Classifier for Spiked Covariance Model (2020) (24)
Contraction and uniform convergence of isotonic regression (2017) (23)
An Equivalence between Critical Points for Rank Constraints Versus Low-Rank Factorizations (2018) (22)
MOCCA: Mirrored Convex/Concave Optimization for Nonconvex Composite Functions (2015) (18)
Discretized conformal prediction for efficient distribution‐free inference (2017) (17)
A Power Analysis for Knockoffs with the Lasso Coefficient-Difference Statistic (2020) (17)
Robust PCA with compressed data (2015) (17)
The conditional permutation test (2018) (15)
Estimating the spectrum in computed tomography via Kullback–Leibler divergence constrained optimization (2018) (15)
Is distribution-free inference possible for binary regression? (2020) (14)
The p-filter: multi-layer FDR control for grouped hypotheses (2015) (14)
Laplace Approximation in High-Dimensional Bayesian Regression (2015) (13)
Trimmed Conformal Prediction for High-Dimensional Models (2016) (10)
Alternating minimization and alternating descent over nonconvex sets (2017) (9)
Convergence for nonconvex ADMM, with applications to CT imaging (2020) (9)
Fast and flexible estimation of effective migration surfaces (2020) (9)
Derandomized knockoffs: leveraging e-values for false discovery rate control (2022) (9)
Testing goodness-of-fit and conditional independence with approximate co-sufficient sampling (2020) (8)
The Log-Shift Penalty for Adaptive Estimation of Multiple Gaussian Graphical Models (2014) (7)
Prediction Rule Reshaping (2018) (7)
The bias of isotonic regression. (2019) (7)
Local continuity of log-concave projection, with applications to estimation under model misspecification (2020) (6)
Three material decomposition for spectral computed tomography enabled by block-diagonal step-preconditioning (2018) (5)
Privacy: A few definitional aspects and consequences for minimax mean-squared error (2014) (5)
Conformalized survival analysis with adaptive cutoffs (2022) (4)
Black box tests for algorithmic stability (2021) (4)
Training-conditional coverage for distribution-free predictive inference (2022) (4)
Spectral CT metal artifact reduction using weighted masking and a One Step direct inversion reconstruction algorithm (2020) (4)
Binary classification with corrupted labels (2021) (3)
On the construction of knockoffs in case–control studies (2018) (3)
Spectral CT metal artifact reduction with an optimization-based reconstruction algorithm (2017) (3)
Convex and Non-Convex Approaches for Statistical Inference with Class-Conditional Noisy Labels (2019) (3)
Addressing CT metal artifacts using photon-counting detectors and one-step spectral CT image reconstruction. (2022) (3)
Distribution-free inference for regression: discrete, continuous, and in between (2021) (2)
Convex and Non-convex Approaches for Statistical Inference with Noisy Labels (2019) (2)
Prediction and model selection for high-dimensional data with sparse or low-rank structure (2012) (1)
Enhancement-constrained acceleration: A robust reconstruction framework in breast DCE-MRI (2021) (1)
X-ray spectral calibration from transmission measurements using Gaussian blur model (2017) (1)
Assessing variation in skeletal production from surface death assemblages on the basis of age-frequency distributions (2015) (1)
Permutation tests using arbitrary permutation distributions (2022) (1)
Convergence guarantee for the sparse monotone single index model (2021) (1)
Selective inference for clustering with unknown variance (2023) (1)
Half-trek criterion for identifiability of latent variable models (2022) (1)
Alternating Minimization Based Framework for Simultaneous Spectral Calibration and Image Reconstruction in Spectral CT (2018) (1)
Generalized permutation tests (2022) (0)
Simultaneous activity and attenuation estimation in TOF-PET with TV-constrained nonconvex optimization (2023) (0)
Supplementary Material for “Predictive Inference with the Jackknife+” (2021) (0)
Iterative Approximate Cross-Validation (2023) (0)
A Power Analysis for Model-X Knockoffs with $\ell_{p}$-Regularized Statistics (2020) (0)
1 2 Fe b 20 18 Robust inference with knockoffs (2018) (0)
De Finetti's Theorem and Related Results for Infinite Weighted Exchangeable Sequences (2023) (0)
Accumulation test demo-simulated data (2016) (0)
Permutation tests without subgroups (2022) (0)
Bagging Provides Assumption-free Stability (2023) (0)

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Rina Foygel Barber's Academic­Influence.com Rankings