Publications & preprints (organized by year)
2024
- The Limits of Assumption-free Tests for Algorithm Performance.
Yuetian Luo and Rina Foygel Barber. arXiv:2402.07388 - Online conformal prediction with decaying step sizes (Code.)
Anastasios N. Angelopoulos, Rina Foygel Barber, and Stephen Bates. arXiv:2402.01139 - Group-Weighted Conformal Prediction (Code.)
Aabesh Bhattacharyya and Rina Foygel Barber. arXiv:2401.17452
2023
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Algorithmic stability implies training-conditional coverage for distribution-free prediction methods. (Code.)
Ruiting Liang and Rina Foygel Barber. arXiv:2311.04295 -
Conformal prediction with local weights: randomization enables robust guarantees. (Code.)
Rohan Hore and Rina Foygel Barber. arXiv:2310.07850 -
Approximate co-sufficient sampling with regularization. (Code.)
Wanrong Zhu and Rina Foygel Barber. arXiv:2309.08063 -
Constrained one-step material decomposition reconstruction of head CT data from a silicon photon-counting prototype.
Taly Gilat Schmidt, Emil Y. Sidky, Xiaochuan Pan, Rina Foygel Barber, Fredrik Grönberg, Martin Sjölin, and Mats Danielsson. To appear in Medical Physics. -
Integrating Uncertainty Awareness into Conformalized Quantile Regression. (Code.)
Raphael Rossellini, Rina Foygel Barber, and Rebecca Willett. arXiv:2306.08693 -
Distribution-free inference with hierarchical data.
Yonghoon Lee, Rina Foygel Barber, and Rebecca Willett. arXiv:2306.06342 -
Conformalized matrix completion. (Code.)
Yu Gui, Rina Foygel Barber, and Cong Ma. To appear in Advances in Neural Information Processing Systems 36 (NeurIPS 2023). arXiv:2305.10637 -
Pharmacokinetic Analysis of Enhancement-Constrained Acceleration (ECA) reconstruction-based high temporal resolution breast DCE-MRI.
Zhen Ren, Ty O. Easley, Federico D. Pineda, Xiaodong Guo, Rina Foygel Barber, and Gregory S. Karczmar. PLoS ONE 18(6): e0286123. -
De Finetti’s Theorem and Related Results for Infinite Weighted Exchangeable Sequences.
Rina Foygel Barber, Emmanuel J. Candès, Aaditya Ramdas, and Ryan Tibshirani. To appear in Bernoulli. arxiv:2304.03927 -
Simultaneous activity and attenuation estimation in TOF-PET with TV-constrained nonconvex optimization. (Code.)
Zhimei Ren, Emil Y. Sidky, Rina Foygel Barber, Chien-Min Kao, and Xiaochuan Pan. arXiv:2303.17042 -
Iterative Approximate Cross-Validation. (Code.)
Yuetian Luo, Zhimei Ren, Rina Foygel Barber. 40th International Conference on Machine Learning (ICML 2023). arxiv:2303.02732 -
Selective inference for clustering with unknown variance. (Code.)
Young-Joo Yun and Rina Foygel Barber. Electronic Journal of Statistics 17(2): 1923-1946. arxiv:2301.12999 -
Bagging Provides Assumption-free Stability. (Code; Slides.)
Jake A. Soloff, Rina Foygel Barber, and Rebecca Willett. arxiv:2301.12600
2022
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Conformalized survival analysis with adaptive cutoffs. (Code.)
Yu Gui, Rohan Hore, Zhimei Ren, and Rina Foygel Barber. To apear in Biometrika. arxiv:2211.01227 -
Derandomized Knockoffs: Leveraging E-values for False Discovery Rate Control. (Code.)
Zhimei Ren and Rina Foygel Barber. To appear in Journal of the Royal Statistical Society - Series B. arXiv:2205.15461 -
Training-conditional coverage for distribution-free predictive inference. (Code.)
Michael Bian and Rina Foygel Barber. Electronic Journal of Statistics 17(2): 2044-2066. arXiv:2205.03647 -
Permutation tests using arbitrary permutation distributions.
Aaditya Ramdas, Rina Foygel Barber, Emmanuel J. Candès, and Ryan Tibshirani. To appear in Sankhya A. arXiv:2204.13581 -
Conformal prediction beyond exchangeability. (Code; Slides.)
Rina Foygel Barber, Emmanuel J. Candès, Aaditya Ramdas, and Ryan Tibshirani. Annals of Statistics 51(2): 816-845. arXiv:2202.13415 -
Addressing CT metal artifacts using photon-counting detectors and one-step spectral CT image reconstruction.
Taly Gilat Schmidt, Barbara A. Sammut, Rina Foygel Barber, Xiaochuan Pan, and Emil Y. Sidky. Medical Physics 49(5):3021-3040. -
Enhancement-Constrained Acceleration: A Robust Reconstruction Framework in Breast DCE-MRI. (Code.)
Ty Easley, Zhen Ren, Byol Kim, Gregory Karczmar, Rina Foygel Barber, and Federico D Pineda. PLoS ONE 16(10): e0258621. -
Half-trek criterion for identifiability of latent variable models.
Rina Foygel Barber, Mathias Drton, Nils Sturma, and Luca Weihs. Annals of Statistics 50(6): 3174-3196. arXiv:2201.04457
2021
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Black-box tests for algorithmic stability. (Slides.)
Byol Kim and Rina Foygel Barber. Information and Inference 12(4): 2690-2719. arXiv:2111.15546 -
Binary classification with corrupted labels.
Yonghoon Lee and Rina Foygel Barber. Electronic Journal of Statistics 16(1): 1367-1392. arXiv:2106.09136 -
Distribution-free inference for regression: discrete, continuous, and in between. (Slides.)
Yonghoon Lee and Rina Foygel Barber. Advances in Neural Information Processing Systems 34 (NeurIPS 2021). arXiv:2105.14075 -
Convergence guarantee for the sparse monotone single index model.
Ran Dai, Hyebin Song, Rina Foygel Barber, and Garvesh Raskutti. Electronic Journal of Statistics 16(2): 4449-4496. arXiv:2105.07587
2020
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A Power Analysis for Model-X Knockoffs with Lp-Regularized Statistics.
Asaf Weinstein, Weijie J. Su, Malgorzata Bogdan, Rina Foygel Barber, and Emmanuel J. Candès. Annals of Statistics 51(3): 1005-1029. arXiv:2007.15346 -
Testing goodness-of-fit and conditional independence with approximate co-sufficient sampling. (Code; Slides.)
Rina Foygel Barber and Lucas Janson. Annals of Statistics 50(5): 2514-2544. arXiv:2007.09851 -
Convergence for nonconvex ADMM, with applications to CT imaging. (Code.)
Rina Foygel Barber and Emil Y. Sidky. arXiv:2006.07278 -
Is distribution-free inference possible for binary regression? (Slides.)
Rina Foygel Barber. Electronic Journal of Statistics 14(2): 3487-3524. arXiv:2004.09477 -
Predictive Inference Is Free with the Jackknife+-after-Bootstrap. (Code.)
Byol Kim, Chen Xu, and Rina Foygel Barber. Advances in Neural Information Processing Systems 33 (NeurIPS 2020). arXiv:2002.09025 -
Spectral CT metal artifact reduction using weighted masking and a one step direct inversion reconstruction algorithm.
Taly Gilat Schmidt, Rina Foygel Barber, and Emil Y. Sidky. Proceedings of the SPIE Conference on Medical Imaging 2020: Physics of Medical Imaging. -
Local continuity of log-concave projection, with applications to estimation under model misspecification.
Rina Foygel Barber and Richard Samworth. Bernoulli 27(4): 2437-2472. arXiv:2002.06117 -
Fast and Flexible Estimation of Effective Migration Surfaces.
Joseph H. Marcus, Wooseok Ha, Rina Foygel Barber, and John Novembre. eLife, 10, e61927. bioRXiv:2020.08.07.242214
2019
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Convex and Non-convex Approaches for Statistical Inference with Noisy Labels.
Hyebin Song, Ran Dai, Garvesh Raskutti, and Rina Foygel Barber. Journal of Machine Learning Research 21(168):1-58. arXiv:1910.02348 -
With Malice Towards None: Assessing Uncertainty via Equalized Coverage. (Code here and here.)
Yaniv Romano, Rina Foygel Barber, Chiara Sabatti, and Emmanuel J. Candès. Harvard Data Science Review 2(2). arXiv:1908.05428 -
The bias of isotonic regression. (Code.)
Ran Dai, Hyebin Song, Rina Foygel Barber, and Garvesh Raskutti. Electronic Journal of Statistics 14(1): 801-834. arXiv:1908.04462 -
Predictive inference with the jackknife+. (Code.)
Rina Foygel Barber, Emmanuel J. Candès, Aaditya Ramdas, and Ryan Tibshirani. Annals of Statistics 49(1): 486-507. arXiv:1905.02928 -
Conformal prediction under covariate shift. (Code.)
Ryan Tibshirani, Rina Foygel Barber, Emmanuel J. Candès, and Aaditya Ramdas. Advances in Neural Information Processing Systems 32 (NeurIPS 2019). arXiv:1904.06019 -
The limits of distribution-free conditional predictive inference.
Rina Foygel Barber, Emmanuel J. Candès, Aaditya Ramdas, and Ryan Tibshirani. Information and Inference 10(2): 455-482. arXiv:1903.04684
2018
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On the construction of knockoffs in case-control studies.
Rina Foygel Barber and Emmanuel J. Candès. STAT 8(1). arXiv:1812.11433 -
An equivalence between critical points for rank constraints versus low-rank factorizations.
Wooseok Ha, Haoyang Liu, and Rina Foygel Barber. SIAM Journal on Optimization: 30(4) 2927-2955. arXiv:1812.00404 -
Alternating minimization based framework for simultaneous spectral calibration and image reconstruction in spectral CT.
Wooseok Ha, Emil Y Sidky, Rina Foygel Barber, Taly Gilat Schmidt, and Xiaochuan Pan. 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference. -
The conditional permutation test for independence while controlling for confounders. (Code.)
Thomas B. Berrett, Yi Wang, Rina Foygel Barber, and Richard J. Samworth. Journal of the Royal Statistical Society - Series B 82(1) 175-197. arXiv:1807.05405 -
Prediction rule reshaping.
Matt Bonakdarpour, Sabyasachi Chatterjee, Rina Foygel Barber, and John Lafferty. 35th International Conference on Machine Learning (ICML 2018). arXiv:1805.06439 -
Estimating the spectrum in computed tomography via Kullback-Leibler divergence constrained optimization.
Wooseok Ha, Emil Y. Sidky, Rina Foygel Barber, Taly Gilat Schmidt, and Xiaochuan Pan. Medical Physics 46(1): 81-92. arXiv:1805.00162 -
Between hard and soft thresholding: optimal iterative thresholding algorithms.
Haoyang Liu and Rina Foygel Barber. Information and Inference 9(4): 899-933. arXiv:1804.08841 -
Three material decomposition for spectral computed tomography enabled by block-diagonal step-preconditioning.
Emil Y. Sidky, Rina Foygel Barber, Taly Gilat Schmidt, and Xiaochuan Pan. arXiv:1801.06263 -
Robust inference with knockoffs.
Rina Foygel Barber, Emmanuel J. Candès, and Richard J. Samworth. Annals of Statistics 48(3): 1409-1431. arXiv:1801.03896
2017
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A power and prediction analysis for knockoffs with Lasso statistics.
Asaf Weinstein, Rina Foygel Barber, and Emmanuel J. Candès. arXiv:1712.06465 -
Discretized conformal prediction for efficient distribution-free inference. (Code.)
Wenyu Chen, Kelli-Jean Chun, and Rina Foygel Barber. STAT 7(1). arXiv:1709.06233 -
A Spectral CT method to directly estimate basis material maps from experimental photon-counting data.
Taly Gilat Schmidt, Rina Foygel Barber, and Emil Y. Sidky. IEEE Transactions on Medical Imaging 36(9):1808-1819. -
X-ray spectral calibration from transmission measurements using Gaussian blur model.
Wooseok Ha, Emil Y. Sidky, and Rina Foygel Barber. Proceedings of the SPIE Conference on Medical Imaging 2017: Physics of Medical Imaging. -
Spectral CT metal artifact reduction with an optimization-based reconstruction algorithm.
Taly Gilat Schmidt, Rina Foygel Barber, and Emil Y. Sidky. Proceedings of the SPIE Conference on Medical Imaging 2017: Physics of Medical Imaging. -
Alternating minimization and alternating descent over nonconvex sets. (Code.)
Wooseok Ha and Rina Foygel Barber. arXiv:1709.04451 -
Contraction and uniform convergence of isotonic regression. (Code.)
Fan Yang and Rina Foygel Barber. Electronic Journal of Statistics 13(1): 646-677. arXiv:1706.01852 -
Gradient descent with nonconvex constraints: local concavity determines convergence. (Code.)
Rina Foygel Barber and Wooseok Ha. Information and Inference 7(4): 755-806. arXiv:1703.07755 -
A unified treatment of multiple testing with prior knowledge. (Code.)
Aaditya Ramdas, Rina Foygel Barber, Martin J. Wainwright, and Michael I. Jordan. Annals of Statistics 47(5): 2790-2821. arXiv:1703.06222
2016
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Trimmed conformal prediction for high-dimensional models.
Wenyu Chen, Zhaokai Wang, Wooseok Ha, and Rina Foygel Barber. arXiv:1611.09933 -
The Function-on-scalar LASSO with applications to longitudinal GWAS.
Rina Foygel Barber, Matthew Reimherr, and Thomas Schill. Electronic Journal of Statistics 11(1): 1351-1389. arXiv:1610.07403 -
Selective inference for group-sparse linear models. (Code.)
Fan Yang, Rina Foygel Barber, Prateek Jain, and John Lafferty. Advances in Neural Information Processing Systems 29 (NeurIPS 2016). arXiv:1607.08211 -
Multiple testing with the structure adaptive Benjamini-Hochberg algorithm. (Code.)
Ang Li and Rina Foygel Barber. Journal of the Royal Statistical Society - Series B 81(1): 45-74. arXiv:1606.07926 -
The knockoff filter for FDR control in group-sparse and multitask regression.
Ran Dai and Rina Foygel Barber. 33rd International Conference on Machine Learning (ICML 2016). arXiv:1602.03589 -
A knockoff filter for high-dimensional selective inference.
Rina Foygel Barber and Emmanuel J. Candès. Annals of Statistics 47(5): 2504-2537. arXiv:1602.03574
2015
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The p-filter: multilayer FDR control for grouped hypotheses. (Code.)
Rina Foygel Barber and Aaditya Ramdas. Journal of the Royal Statistical Society - Series B 79(4): 1247-1268. arXiv:1512.03397 -
An algorithm for constrained one-step inversion of spectral CT data.
Rina Foygel Barber, Emil Y. Sidky, Taly Gilat Schmidt, and Xiaochuan Pan. Physics in Medicine and Biology 61: 3784-3818. arXiv:1511.03384 -
MOCCA: mirrored convex/concave optimization for nonconvex composite functions. (Code; Slides.)
Rina Foygel Barber and Emil Y. Sidky. Journal of Machine Learning Research 17: 1-51. arXiv:1510.08842 -
Accumulation tests for FDR control in ordered hypothesis testing. (Code.)
Ang Li and Rina Foygel Barber. Journal of the American Statistical Association 112(518): 837-849. arXiv:1505.07352 -
EigenPrism: inference for high-dimensional signal-to-noise ratios.
Lucas Janson, Rina Foygel Barber, and Emmanuel J. Candès. Journal of the Royal Statistical Society - Series B 79(4): 1037-1065. arXiv:1505.02097 -
Laplace approximation in high-dimensional Bayesian regression.
Rina Foygel Barber, Mathias Drton, and Kean Ming Tan. Springer series Abel Symposium vol 11 (Statistical Analysis for High Dimensional Data): 15-36. arXiv:1503.08337 -
Robust PCA with compressed data.
Wooseok Ha and Rina Foygel Barber. Advances in Neural Information Processing Systems 28 (NeurIPS 2015). -
ROCKET: robust confidence intervals via Kendall’s Tau for transelliptical graphical models. (Code.)
Rina Foygel Barber and Mladen Kolar. Annals of Statistics 46(6B): 3422-3450. arXiv:1502.07641 -
Inferring skeletal production from time-averaged assemblages: skeletal loss pulls the timing of production pulses towards the modern period.
Adam Tomasovych, Susan M. Kidwell, and Rina Foygel Barber. Paleobiology 42(1): 54-76.
2014
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Privacy and statistical risk: Formalisms and minimax bounds.
Rina Foygel Barber and John Duchi. arXiv:1412.4451
Shorter conference version: Privacy: a few definitional aspects and consequences for minimax mean-squared error. 53rd IEEE Conference on Decision and Control (CDC 2014). -
The log-shift penalty for adaptive estimation of multiple Gaussian graphical models.
Yuancheng Zhu and Rina Foygel Barber. 18th International Conference on Artificial Intelligence and Statistics (AISTATS 2015). arXiv:1406.1812 -
Controlling the false discovery rate via knockoffs. (Code; Slides.)
Rina Foygel Barber and Emmanuel J. Candès. Annals of Statistics 43(5):2055-2085. arXiv:1404.5609 -
High-dimensional Ising model selection with Bayesian information criteria.
Rina Foygel Barber and Mathias Drton. Electronic Journal of Statistics 9:567-607. arXiv:1403.3374 -
Long-term accumulation of carbonate shells reflects a 100-fold drop in loss rate.
Adam Tomasovych, Susan M. Kidwell, Rina Foygel Barber, and Darrell S. Kaufman. Geology 42(9):819-822.
2013
- Corrupted sensing: novel guarantees for separating structured signals.
Rina Foygel and Lester Mackey. IEEE Transactions on Information Theory 60(2): 1223-1247. arXiv:1305.2524
2012
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Nonparametric reduced rank regression.
Rina Foygel, Michael Horrell, Mathias Drton, and John Lafferty. Advances in Neural Information Processing Systems 25 (NeurIPS 2012). arXiv:1301.1919 -
Matrix reconstruction with the local max norm.
Rina Foygel, Nathan Srebro, and Ruslan Salakhutdinov. Advances in Neural Information Processing Systems 25 (NeurIPS 2012). arXiv:1210.5196 -
Sparse Prediction with the k-Support Norm.
Andreas Argyriou, Rina Foygel, and Nathan Srebro. Advances in Neural Information Processing Systems 25 (NeurIPS 2012). arXiv:1204.5043
2011
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Bayesian model choice and information criteria in sparse generalized linear models.
Rina Foygel and Mathias Drton. arXiv:1112.5635 -
Fast-rate and optimistic-rate error bounds for L1-regularized regression.
Rina Foygel and Nathan Srebro. arXiv:1108.0373 -
Half-trek criterion for generic identifiability of linear structural equation models. (Code.)
Rina Foygel, Jan Draisma, and Mathias Drton. Annals of Statistics 40(3): 1682-1713. arXiv:1107.5552 -
Learning with the weighted trace-norm under arbitrary sampling distributions.
Rina Foygel, Ruslan Salakhutdinov, Ohad Shamir, and Nathan Srebro. Advances in Neural Information Processing Systems 24 (NeurIPS 2011). arXiv:1106.4251 -
Concentration-based guarantees for low-rank matrix reconstruction.
Rina Foygel and Nathan Srebro. 24th Annual Conference on Learning Theory (COLT 2011). arXiv:1102.3923
2010
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Extended Bayesian information criteria for Gaussian graphical models.
Rina Foygel and Mathias Drton. Advances in Neural Information Processing Systems 23 (NeurIPS 2010). arXiv:1011.6640 -
Exact block-wise optimization in group lasso for linear regression.
Rina Foygel and Mathias Drton. arXiv:1010.3320 -
Global identifiability of linear structural equation models. (Code.)
Mathias Drton, Rina Foygel, and Seth Sullivant. Annals of Statistics 39(2):865-886. arXiv:1003.1146