Rina Foygel Barber
16 papers · 2015–2026 · 6 venues · across top CS/AI venues
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Research topics
Machine Learning
(15)
Optimization & Theory Β· Machine Learning
(13)
Core Methods
(8)
Mathematics & Optimization
(6)
Learning Types
(5)
Optimization
(4)
Mathematics
(3)
Artificial Intelligence
(2)
Deep Learning
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Bayesian & Probabilistic Β· Artificial Intelligence
(2)
Optimization & Theory Β· Deep Learning
(2)
Computer Vision
(1)
Data Science & Analytics
(1)
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Bayesian & Probabilistic Β· Machine Learning
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Keywords
conformal prediction
(4)
prediction interval
(3)
convex optimization
(3)
non-convex optimization
(2)
variable selection
(2)
convergence analysis
(1)
primal-dual optimization
(1)
optimal transport
(1)
epistemic uncertainty
(1)
fisher information
(1)
uncertainty quantification
(1)
logistic regression
(1)
image reconstruction
(1)
composite optimization
(1)
sparse estimation
(1)
bayesian inference
(1)
group lasso
(1)
isotonic regression
(1)
statistical inference
(1)
compressed sensing
(1)
Papers
Is Memorization Helpful or Harmful? Prior Information Sets the Threshold
COLT 2026
Predictive inference for time series: why is split conformal effective despite temporal dependence?
ALT 2026
Are all models wrong? Fundamental limits in distribution-free empirical model falsification
COLT 2025
Can a calibration metric be both testable and actionable?
COLT 2025
Bagging Provides Assumption-free Stability
JMLR 2024
Boosted Conformal Prediction Intervals
NeurIPS 2024
Building a stable classifier with the inflated argmax
NeurIPS 2024
Convergence for nonconvex ADMM, with applications to CT imaging
JMLR 2024
Integrating Uncertainty Awareness into Conformalized Quantile Regression
AISTATS 2024
Convex and Non-Convex Approaches for Statistical Inference with Class-Conditional Noisy Labels
JMLR 2020
Conformal Prediction Under Covariate Shift
NeurIPS 2019
Prediction Rule Reshaping
ICML 2018
MOCCA: Mirrored Convex/Concave Optimization for Nonconvex Composite Functions
JMLR 2016
Selective inference for group-sparse linear models
NeurIPS 2016
Robust PCA with compressed data
NeurIPS 2015
The Log-Shift Penalty for Adaptive Estimation of Multiple Gaussian Graphical Models
AISTATS 2015