Barber, Rina Foygel

13 publications

COLT 2025 Are All Models Wrong? Fundamental Limits in Distribution-Free Empirical Model Falsification Manuel M. Müller, Yuetian Luo, Rina Foygel Barber

COLT 2025 Can a Calibration Metric Be Both Testable and Actionable? Raphael Rossellini, Jake A. Soloff, Rina Foygel Barber, Zhimei Ren, Rebecca Willett

JMLR 2024 Bagging Provides Assumption-Free Stability Jake A. Soloff, Rina Foygel Barber, Rebecca Willett

NeurIPS 2024 Boosted Conformal Prediction Intervals Ran Xie, Rina Foygel Barber, Emmanuel J. Candès

NeurIPS 2024 Building a Stable Classifier with the Inflated Argmax Jake A. Soloff, Rina Foygel Barber, Rebecca Willett

JMLR 2024 Convergence for Nonconvex ADMM, with Applications to CT Imaging Rina Foygel Barber, Emil Y. Sidky

JMLR 2020 Convex and Non-Convex Approaches for Statistical Inference with Class-Conditional Noisy Labels Hyebin Song, Ran Dai, Garvesh Raskutti, Rina Foygel Barber

NeurIPS 2019 Conformal Prediction Under Covariate Shift Ryan J Tibshirani, Rina Foygel Barber, Emmanuel Candes, Aaditya Ramdas

ICML 2018 Prediction Rule Reshaping Matt Bonakdarpour, Sabyasachi Chatterjee, Rina Foygel Barber, John Lafferty

JMLR 2016 MOCCA: Mirrored Convex/Concave Optimization for Nonconvex Composite Functions Rina Foygel Barber, Emil Y. Sidky

NeurIPS 2016 Selective Inference for Group-Sparse Linear Models Fan Yang, Rina Foygel Barber, Prateek Jain, John Lafferty

NeurIPS 2015 Robust PCA with Compressed Data Wooseok Ha, Rina Foygel Barber

AISTATS 2015 The Log-Shift Penalty for Adaptive Estimation of Multiple Gaussian Graphical Models Yuancheng Zhu, Rina Foygel Barber