575 citations · 929 across the 52 of their papers we have counts for
6 papers · 1 filter
A Power and Prediction Analysis for Knockoffs with Lasso Statistics
Asaf Weinstein, Rina Barber, Emmanuel Candes
Knockoffs is a new framework for controlling the false discovery rate (FDR) in multiple hypothesis testing problems involving complex statistical models. While there has been great…
Discretized conformal prediction for efficient distribution-free inference
Wenyu Chen, Kelli-Jean Chun, Rina Foygel Barber
In regression problems where there is no known true underlying model, conformal prediction methods enable prediction intervals to be constructed without any assumptions on the dist…
Alternating minimization and alternating descent over nonconvex sets
Wooseok Ha, Rina Foygel Barber
We analyze the performance of alternating minimization for loss functions optimized over two variables, where each variable may be restricted to lie in some potentially nonconvex c…
Contraction and uniform convergence of isotonic regression
Fan Yang, Rina Foygel Barber
We consider the problem of isotonic regression, where the underlying signal is assumed to satisfy a monotonicity constraint, that is, lies in the cone $\{ x\in\mathbb{R}^n…
Gradient descent with nonconvex constraints: local concavity determines convergence
Rina Foygel Barber, Wooseok Ha
Many problems in high-dimensional statistics and optimization involve minimization over nonconvex constraints-for instance, a rank constraint for a matrix estimation problem-but li…
A unified treatment of multiple testing with prior knowledge using the p-filter
Aaditya Ramdas, Rina Foygel Barber, Martin J. Wainwright +1
There is a significant literature on methods for incorporating knowledge into multiple testing procedures so as to improve their power and precision. Some common forms of prior kno…