Reviews: The Impact of Regularization on High-dimensional Logistic Regression

Neural Information Processing Systems 

The authors study the limiting distribution of certain functionals of the penalized maximum likelihood estimator in regression. The paper contains nontrivial new extensions of the work of Sur and Candes in the unpenalized case, and is well-written and interesting. The reviews were mostly positive and the paper is in good shape.