default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDRina Foygel Barber
Person information
- affiliation: University of Chicago
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[j8]Rina Foygel Barber, Emil Y. Sidky:
Convergence for nonconvex ADMM, with applications to CT imaging. J. Mach. Learn. Res. 25: 38:1-38:46 (2024)- [j7]Jake A. Soloff, Rina Foygel Barber, Rebecca Willett:
Bagging Provides Assumption-free Stability. J. Mach. Learn. Res. 25: 131:1-131:35 (2024) - [j6]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): 2347-2357 (2024) - [c20]Raphael Rossellini, Rina Foygel Barber, Rebecca Willett:
Integrating Uncertainty Awareness into Conformalized Quantile Regression. AISTATS 2024: 1540-1548 - [c19]Anastasios Nikolas Angelopoulos, Rina Barber, Stephen Bates:
Online conformal prediction with decaying step sizes. ICML 2024 - [i15]Anastasios N. Angelopoulos, Rina Foygel Barber, Stephen Bates:
Online conformal prediction with decaying step sizes. CoRR abs/2402.01139 (2024) - [i14]Yuetian Luo, Rina Foygel Barber:
The Limits of Assumption-free Tests for Algorithm Performance. CoRR abs/2402.07388 (2024) - [i13]Jake A. Soloff, Rina Foygel Barber, Rebecca Willett:
Building a stable classifier with the inflated argmax. CoRR abs/2405.14064 (2024) - [i12]Yuetian Luo, Rina Foygel Barber:
Is Algorithmic Stability Testable? A Unified Framework under Computational Constraints. CoRR abs/2405.15107 (2024) - 2023
- [c18]Yuetian Luo, Zhimei Ren, Rina Barber:
Iterative Approximate Cross-Validation. ICML 2023: 23083-23102 - [c17]Yu Gui, Rina Barber, Cong Ma:
Conformalized matrix completion. NeurIPS 2023 - [i11]Jake A. Soloff, Rina Foygel Barber, Rebecca Willett:
Bagging Provides Assumption-free Stability. CoRR abs/2301.12600 (2023) - 2021
- [c16]Yonghoon Lee, Rina Barber:
Distribution-free inference for regression: discrete, continuous, and in between. NeurIPS 2021: 7448-7459 - [i10]Byol Kim, Rina Foygel Barber:
Black box tests for algorithmic stability. CoRR abs/2111.15546 (2021) - 2020
- [j5]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: 168:1-168:58 (2020) - [j4]Wooseok Ha, Haoyang Liu, Rina Foygel Barber:
An Equivalence between Critical Points for Rank Constraints Versus Low-Rank Factorizations. SIAM J. Optim. 30(4): 2927-2955 (2020) - [c15]Byol Kim, Chen Xu, Rina Foygel Barber:
Predictive inference is free with the jackknife+-after-bootstrap. NeurIPS 2020
2010 – 2019
- 2019
- [c14]Ryan J. Tibshirani, Rina Foygel Barber, Emmanuel J. Candès, Aaditya Ramdas:
Conformal Prediction Under Covariate Shift. NeurIPS 2019: 2526-2536 - [i9]Yaniv Romano, Rina Foygel Barber, Chiara Sabatti, Emmanuel J. Candès:
With Malice Towards None: Assessing Uncertainty via Equalized Coverage. CoRR abs/1908.05428 (2019) - 2018
- [c13]Matt Bonakdarpour, Sabyasachi Chatterjee, Rina Foygel Barber, John Lafferty:
Prediction Rule Reshaping. ICML 2018: 629-637 - [i8]Matt Bonakdarpour, Sabyasachi Chatterjee, Rina Foygel Barber, John D. Lafferty:
Prediction Rule Reshaping. CoRR abs/1805.06439 (2018) - 2017
- [j3]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): 1808-1819 (2017) - 2016
- [j2]Rina Foygel Barber, Emil Y. Sidky:
MOCCA: Mirrored Convex/Concave Optimization for Nonconvex Composite Functions. J. Mach. Learn. Res. 17: 144:1-144:51 (2016) - [c12]Ran Dai, Rina Barber:
The knockoff filter for FDR control in group-sparse and multitask regression. ICML 2016: 1851-1859 - [c11]Fan Yang, Rina Foygel Barber, Prateek Jain, John D. Lafferty:
Selective inference for group-sparse linear models. NIPS 2016: 2469-2477 - 2015
- [c10]Yuancheng Zhu, Rina Foygel Barber:
The Log-Shift Penalty for Adaptive Estimation of Multiple Gaussian Graphical Models. AISTATS 2015 - [c9]Wooseok Ha, Rina Foygel Barber:
Robust PCA with compressed data. NIPS 2015: 1936-1944 - [i7]Rina Foygel Barber, Mladen Kolar:
ROCKET: Robust Confidence Intervals via Kendall's Tau for Transelliptical Graphical Models. CoRR abs/1502.07641 (2015) - 2014
- [j1]Rina Foygel, Lester W. Mackey:
Corrupted Sensing: Novel Guarantees for Separating Structured Signals. IEEE Trans. Inf. Theory 60(2): 1223-1247 (2014) - [c8]Rina Foygel Barber, John C. Duchi:
Privacy: A few definitional aspects and consequences for minimax mean-squared error. CDC 2014: 1365-1369 - [i6]Rina Foygel Barber, John C. Duchi:
Privacy and Statistical Risk: Formalisms and Minimax Bounds. CoRR abs/1412.4451 (2014) - 2013
- [i5]Rina Foygel, Lester W. Mackey:
Corrupted Sensing: Novel Guarantees for Separating Structured Signals. CoRR abs/1305.2524 (2013) - 2012
- [c7]Rina Foygel, Nathan Srebro, Ruslan Salakhutdinov:
Matrix reconstruction with the local max norm. NIPS 2012: 944-952 - [c6]Andreas Argyriou, Rina Foygel, Nathan Srebro:
Sparse Prediction with the $k$-Support Norm. NIPS 2012: 1466-1474 - [c5]Rina Foygel, Michael Horrell, Mathias Drton, John D. Lafferty:
Nonparametric Reduced Rank Regression. NIPS 2012: 1637-1645 - [c4]Rina Foygel:
Commentary on "Near-Optimal Algorithms for Online Matrix Prediction". COLT 2012: 38.14-38.17 - [i4]Andreas Argyriou, Rina Foygel, Nathan Srebro:
Sparse Prediction with the k-Overlap Norm. CoRR abs/1204.5043 (2012) - [i3]Rina Foygel, Nathan Srebro, Ruslan Salakhutdinov:
Matrix reconstruction with the local max norm. CoRR abs/1210.5196 (2012) - 2011
- [c3]Rina Foygel, Ruslan Salakhutdinov, Ohad Shamir, Nati Srebro:
Learning with the weighted trace-norm under arbitrary sampling distributions. NIPS 2011: 2133-2141 - [c2]Rina Foygel, Nathan Srebro:
Concentration-Based Guarantees for Low-Rank Matrix Reconstruction. COLT 2011: 315-340 - [i2]Rina Foygel, Nathan Srebro:
Concentration-Based Guarantees for Low-Rank Matrix Reconstruction. CoRR abs/1102.3923 (2011) - [i1]Rina Foygel, Ruslan Salakhutdinov, Ohad Shamir, Nathan Srebro:
Learning with the Weighted Trace-norm under Arbitrary Sampling Distributions. CoRR abs/1106.4251 (2011) - 2010
- [c1]Rina Foygel, Mathias Drton:
Extended Bayesian Information Criteria for Gaussian Graphical Models. NIPS 2010: 604-612
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-09-18 01:12 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
