575 citations · 929 across the 52 of their papers we have counts for
6 papers · 2 filters
Conformal prediction with local weights: randomization enables local guarantees
Rohan Hore, Rina Foygel Barber
In this work, we consider the problem of building distribution-free prediction intervals with finite-sample conditional coverage guarantees. Conformal prediction (CP) is an increas…
Approximate co-sufficient sampling with regularization
Wanrong Zhu, Rina Foygel Barber
In this work, we consider the problem of goodness-of-fit (GoF) testing for parametric models. This testing problem involves a composite null hypothesis, due to the unknown values o…
Integrating Uncertainty Awareness into Conformalized Quantile Regression
Raphael Rossellini, Rina Foygel Barber, Rebecca Willett
Conformalized Quantile Regression (CQR) is a recently proposed method for constructing prediction intervals for a response given covariates , without making distributional a…
Conformalized matrix completion
Yu Gui, Rina Foygel Barber, Cong Ma
Matrix completion aims to estimate missing entries in a data matrix, using the assumption of a low-complexity structure (e.g., low rank) so that imputation is possible. While many…
Iterative Approximate Cross-Validation
Yuetian Luo, Zhimei Ren, Rina Foygel Barber
Cross-validation (CV) is one of the most popular tools for assessing and selecting predictive models. However, standard CV suffers from high computational cost when the number of f…
Selective inference for clustering with unknown variance
Youngjoo Yun, Rina Foygel Barber
In many modern statistical problems, the limited available data must be used both to develop the hypotheses to test, and to test these hypotheses-that is, both for exploratory and…