Rina Foygel Barber

According to our database, Rina Foygel Barber authored at least 31 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

The Limits of Assumption-free Tests for Algorithm Performance.

Yuetian Luo, Rina Foygel Barber

CoRR, 2024

Online conformal prediction with decaying step sizes.

Anastasios N. Angelopoulos, Rina Foygel Barber, Stephen Bates

CoRR, 2024

2023

Bagging Provides Assumption-free Stability.

Jake A. Soloff, Rina Foygel Barber, Rebecca Willett

CoRR, 2023

Conformalized matrix completion.

Yu Gui, Rina Barber, Cong Ma

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Iterative Approximate Cross-Validation.

Yuetian Luo, Zhimei Ren, Rina Barber

Proceedings of the International Conference on Machine Learning, 2023

2021

Black box tests for algorithmic stability.

Byol Kim, Rina Foygel Barber

CoRR, 2021

Distribution-free inference for regression: discrete, continuous, and in between.

Yonghoon Lee, Rina Barber

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

An Equivalence between Critical Points for Rank Constraints Versus Low-Rank Factorizations.

Wooseok Ha, Haoyang Liu, Rina Foygel Barber

SIAM J. Optim., 2020

Convex and Non-Convex Approaches for Statistical Inference with Class-Conditional Noisy Labels.

Hyebin Song, Ran Dai, Garvesh Raskutti, Rina Foygel Barber

J. Mach. Learn. Res., 2020

Predictive inference is free with the jackknife+-after-bootstrap.

Byol Kim, Chen Xu, Rina Foygel Barber

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

With Malice Towards None: Assessing Uncertainty via Equalized Coverage.

Yaniv Romano, Rina Foygel Barber, Chiara Sabatti, Emmanuel J. Candès

CoRR, 2019

Conformal Prediction Under Covariate Shift.

Ryan J. Tibshirani, Rina Foygel Barber, Emmanuel J. Candès, Aaditya Ramdas

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Prediction Rule Reshaping.

Matt Bonakdarpour, Sabyasachi Chatterjee, Rina Foygel Barber, John Lafferty

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

A Spectral CT Method to Directly Estimate Basis Material Maps From Experimental Photon-Counting Data.

Taly Gilat Schmidt, Rina Foygel Barber, Emil Y. Sidky

IEEE Trans. Medical Imaging, 2017

2016

MOCCA: Mirrored Convex/Concave Optimization for Nonconvex Composite Functions.

Rina Foygel Barber, Emil Y. Sidky

J. Mach. Learn. Res., 2016

Selective inference for group-sparse linear models.

Fan Yang, Rina Foygel Barber, Prateek Jain, John D. Lafferty

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

The knockoff filter for FDR control in group-sparse and multitask regression.

Ran Dai, Rina Barber

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

ROCKET: Robust Confidence Intervals via Kendall's Tau for Transelliptical Graphical Models.

Rina Foygel Barber, Mladen Kolar

CoRR, 2015

Robust PCA with compressed data.

Wooseok Ha, Rina Foygel Barber

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

The Log-Shift Penalty for Adaptive Estimation of Multiple Gaussian Graphical Models.

Yuancheng Zhu, Rina Foygel Barber

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014

Corrupted Sensing: Novel Guarantees for Separating Structured Signals.

Rina Foygel, Lester W. Mackey

IEEE Trans. Inf. Theory, 2014

Privacy and Statistical Risk: Formalisms and Minimax Bounds.

Rina Foygel Barber, John C. Duchi

CoRR, 2014

Privacy: A few definitional aspects and consequences for minimax mean-squared error.

Rina Foygel Barber, John C. Duchi

Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2012

Commentary on "Near-Optimal Algorithms for Online Matrix Prediction".

Rina Foygel

Proceedings of the COLT 2012, 2012

Sparse Prediction with the k-Overlap Norm

Andreas Argyriou, Rina Foygel, Nathan Srebro

CoRR, 2012

Matrix reconstruction with the local max norm.

Rina Foygel, Nathan Srebro, Ruslan Salakhutdinov

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Nonparametric Reduced Rank Regression.

Rina Foygel, Michael Horrell, Mathias Drton, John D. Lafferty

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Sparse Prediction with the $k$-Support Norm.

Andreas Argyriou, Rina Foygel, Nathan Srebro

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011

Concentration-Based Guarantees for Low-Rank Matrix Reconstruction.

Rina Foygel, Nathan Srebro

Proceedings of the COLT 2011, 2011

Learning with the weighted trace-norm under arbitrary sampling distributions.

Rina Foygel, Ruslan Salakhutdinov, Ohad Shamir, Nati Srebro

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

2010

Extended Bayesian Information Criteria for Gaussian Graphical Models.

Rina Foygel, Mathias Drton

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010