Rina Foygel Barber

32 papers A* 5A 2Journal 22Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Distribution-free two-sample testing with blurred total variation distance. CoRR Rohan Hore, Rina Foygel Barber
2026	J	`jnl`	Is Memorization Helpful or Harmful? Prior Information Sets the Threshold. CoRR Chen Cheng, Rina Foygel Barber
2025	A*	`conf`	Are all models wrong? Fundamental limits in distribution-free empirical model falsification. COLT Manuel M. Müller, Yuetian Luo, Rina Foygel Barber
2025	J	`jnl`	Are all models wrong? Fundamental limits in distribution-free empirical model falsification. CoRR Manuel M. Müller, Yuetian Luo, Rina Foygel Barber
2025	J	`jnl`	Assumption-free stability for ranking problems. CoRR Ruiting Liang, Jake A. Soloff, Rina Foygel Barber, Rebecca Willett
2025	A*	`conf`	Can a calibration metric be both testable and actionable? COLT Raphael Rossellini, Jake A. Soloff, Rina Foygel Barber, Zhimei Ren, Rebecca Willett
2025	J	`jnl`	Predictive inference for time series: why is split conformal effective despite temporal dependence? CoRR Rina Foygel Barber, Ashwin Pananjady
2024	J	`jnl`	Bagging Provides Assumption-free Stability. J. Mach. Learn. Res. Jake A. Soloff, Rina Foygel Barber, Rebecca Willett
2024	J	`jnl`	Building a stable classifier with the inflated argmax. CoRR Jake A. Soloff, Rina Foygel Barber, Rebecca Willett
2024	J	`jnl`	Convergence for nonconvex ADMM, with applications to CT imaging. J. Mach. Learn. Res. Rina Foygel Barber, Emil Y. Sidky
2024	A	`conf`	Integrating Uncertainty Awareness into Conformalized Quantile Regression. AISTATS Raphael Rossellini, Rina Foygel Barber, Rebecca Willett
2024	J	`jnl`	Is Algorithmic Stability Testable? A Unified Framework under Computational Constraints. CoRR Yuetian Luo, Rina Foygel Barber
2024	J	`jnl`	Online conformal prediction with decaying step sizes. CoRR Anastasios N. Angelopoulos, Rina Foygel Barber, Stephen Bates
2024	J	`jnl`	Simultaneous Activity and Attenuation Estimation in TOF-PET With TV-Constrained Nonconvex Optimization. IEEE Trans. Medical Imaging Zhimei Ren, Emil Y. Sidky, Rina Foygel Barber, Chien-Min Kao, Xiaochuan Pan
2024	J	`jnl`	The Limits of Assumption-free Tests for Algorithm Performance. CoRR Yuetian Luo, Rina Foygel Barber
2023	J	`jnl`	Bagging Provides Assumption-free Stability. CoRR Jake A. Soloff, Rina Foygel Barber, Rebecca Willett
2021	J	`jnl`	Black box tests for algorithmic stability. CoRR Byol Kim, Rina Foygel Barber
2020	J	`jnl`	An Equivalence between Critical Points for Rank Constraints Versus Low-Rank Factorizations. SIAM J. Optim. Wooseok Ha, Haoyang Liu, Rina Foygel Barber
2020	J	`jnl`	Convex and Non-Convex Approaches for Statistical Inference with Class-Conditional Noisy Labels. J. Mach. Learn. Res. Hyebin Song, Ran Dai, Garvesh Raskutti, Rina Foygel Barber
2020	A*	`conf`	Predictive inference is free with the jackknife+-after-bootstrap. NeurIPS Byol Kim, Chen Xu, Rina Foygel Barber
2019	A*	`conf`	Conformal Prediction Under Covariate Shift. NeurIPS Ryan J. Tibshirani, Rina Foygel Barber, Emmanuel J. Candès, Aaditya Ramdas
2019	J	`jnl`	With Malice Towards None: Assessing Uncertainty via Equalized Coverage. CoRR Yaniv Romano, Rina Foygel Barber, Chiara Sabatti, Emmanuel J. Candès
2018	A*	`conf`	Prediction Rule Reshaping. ICML Matt Bonakdarpour, Sabyasachi Chatterjee, Rina Foygel Barber, John Lafferty
2018	J	`jnl`	Prediction Rule Reshaping. CoRR Matt Bonakdarpour, Sabyasachi Chatterjee, Rina Foygel Barber, John D. Lafferty
2017	J	`jnl`	A Spectral CT Method to Directly Estimate Basis Material Maps From Experimental Photon-Counting Data. IEEE Trans. Medical Imaging Taly Gilat Schmidt, Rina Foygel Barber, Emil Y. Sidky
2016	J	`jnl`	MOCCA: Mirrored Convex/Concave Optimization for Nonconvex Composite Functions. J. Mach. Learn. Res. Rina Foygel Barber, Emil Y. Sidky
2016	—	`conf`	Selective inference for group-sparse linear models. NIPS Fan Yang, Rina Foygel Barber, Prateek Jain, John D. Lafferty
2015	J	`jnl`	ROCKET: Robust Confidence Intervals via Kendall's Tau for Transelliptical Graphical Models. CoRR Rina Foygel Barber, Mladen Kolar
2015	—	`conf`	Robust PCA with compressed data. NIPS Wooseok Ha, Rina Foygel Barber
2015	A	`conf`	The Log-Shift Penalty for Adaptive Estimation of Multiple Gaussian Graphical Models. AISTATS Yuancheng Zhu, Rina Foygel Barber
2014	J	`jnl`	Privacy and Statistical Risk: Formalisms and Minimax Bounds. CoRR Rina Foygel Barber, John C. Duchi
2014	—	`conf`	Privacy: A few definitional aspects and consequences for minimax mean-squared error. CDC Rina Foygel Barber, John C. Duchi