Rina Foygel Barber

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 18

Top Topics

Conformal Prediction

Quantile Regression

Algorithmic Stability

Top Venues

IEEE Trans. Medical Imaging

Publications

Zhimei Ren, Emil Y. Sidky, Rina Foygel Barber, Chien-Min Kao, Xiaochuan Pan
Simultaneous Activity and Attenuation Estimation in TOF-PET With TV-Constrained Nonconvex Optimization. IEEE Trans. Medical Imaging 43 (6) (2024)
Raphael Rossellini, Rina Foygel Barber, Rebecca Willett
Integrating Uncertainty Awareness into Conformalized Quantile Regression. AISTATS (2024)
Yuetian Luo, Rina Foygel Barber
The Limits of Assumption-free Tests for Algorithm Performance. CoRR (2024)
Anastasios N. Angelopoulos, Rina Foygel Barber, Stephen Bates
Online conformal prediction with decaying step sizes. CoRR (2024)
Yuetian Luo, Rina Foygel Barber
Is Algorithmic Stability Testable? A Unified Framework under Computational Constraints. CoRR (2024)
Jake A. Soloff, Rina Foygel Barber, Rebecca Willett
Building a stable classifier with the inflated argmax. CoRR (2024)
Jake A. Soloff, Rina Foygel Barber, Rebecca Willett
Bagging Provides Assumption-free Stability. CoRR (2023)
Byol Kim, Rina Foygel Barber
Black box tests for algorithmic stability. CoRR (2021)
Hyebin Song, Ran Dai, Garvesh Raskutti, Rina Foygel Barber
Convex and Non-Convex Approaches for Statistical Inference with Class-Conditional Noisy Labels. J. Mach. Learn. Res. 21 (2020)
Byol Kim, Chen Xu, Rina Foygel Barber
Predictive inference is free with the jackknife+-after-bootstrap. NeurIPS (2020)
Wooseok Ha, Haoyang Liu, Rina Foygel Barber
An Equivalence between Critical Points for Rank Constraints Versus Low-Rank Factorizations. SIAM J. Optim. 30 (4) (2020)
Yaniv Romano, Rina Foygel Barber, Chiara Sabatti, Emmanuel J. Candès
With Malice Towards None: Assessing Uncertainty via Equalized Coverage. CoRR (2019)
Ryan J. Tibshirani, Rina Foygel Barber, Emmanuel J. Candès, Aaditya Ramdas
Conformal Prediction Under Covariate Shift. NeurIPS (2019)
Matt Bonakdarpour, Sabyasachi Chatterjee, Rina Foygel Barber, John D. Lafferty
Prediction Rule Reshaping. CoRR (2018)
Matt Bonakdarpour, Sabyasachi Chatterjee, Rina Foygel Barber, John Lafferty
Prediction Rule Reshaping. ICML (2018)
Taly Gilat Schmidt, Rina Foygel Barber, Emil Y. Sidky
A Spectral CT Method to Directly Estimate Basis Material Maps From Experimental Photon-Counting Data. IEEE Trans. Medical Imaging 36 (9) (2017)
Fan Yang, Rina Foygel Barber, Prateek Jain, John D. Lafferty
Selective inference for group-sparse linear models. NIPS (2016)
Rina Foygel Barber, Emil Y. Sidky
MOCCA: Mirrored Convex/Concave Optimization for Nonconvex Composite Functions. J. Mach. Learn. Res. 17 (2016)
Wooseok Ha, Rina Foygel Barber
Robust PCA with compressed data. NIPS (2015)
Rina Foygel Barber, Mladen Kolar
ROCKET: Robust Confidence Intervals via Kendall's Tau for Transelliptical Graphical Models. CoRR (2015)
Yuancheng Zhu, Rina Foygel Barber
The Log-Shift Penalty for Adaptive Estimation of Multiple Gaussian Graphical Models. AISTATS (2015)
Rina Foygel Barber, John C. Duchi
Privacy: A few definitional aspects and consequences for minimax mean-squared error. CDC (2014)
Rina Foygel Barber, John C. Duchi
Privacy and Statistical Risk: Formalisms and Minimax Bounds. CoRR (2014)