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20152026
most citedSelective Inference for Group-Sparse Linear Models

36 citations · 90 across the 25 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

math.ST2020

A Power Analysis for Model-X Knockoffs with -Regularized Statistics

Asaf Weinstein, Weijie J. Su, Małgorzata Bogdan +2

Variable selection properties of procedures utilizing penalized-likelihood estimates is a central topic in the study of high dimensional linear regression problems. Existing litera…

math.OC2020

Convergence for nonconvex ADMM, with applications to CT imaging

Rina Foygel Barber, Emil Y. Sidky

The alternating direction method of multipliers (ADMM) algorithm is a powerful and flexible tool for complex optimization problems of the form . ADMM e…

math.ST2020

Is distribution-free inference possible for binary regression?

Rina Foygel Barber

For a regression problem with a binary label response, we examine the problem of constructing confidence intervals for the label probability conditional on the features. In a setti…

stat.ME2020

Predictive Inference Is Free with the Jackknife+-after-Bootstrap

Byol Kim, Chen Xu, Rina Foygel Barber

Ensemble learning is widely used in applications to make predictions in complex decision problems---for example, averaging models fitted to a sequence of samples bootstrapped from…

math.ST2020

Local continuity of log-concave projection, with applications to estimation under model misspecification

Rina Foygel Barber, Richard J. Samworth

The log-concave projection is an operator that maps a d-dimensional distribution P to an approximating log-concave density. Prior work by D{ü}mbgen et al. (2011) establishes that,…