most citedThe generalization error of max-margin linear classifiers: Benign overfitting and high dimensional asymptotics in the overparametrized regime

88 citations · 88 across the 1 of their papers we have counts for

collaborators

3 papers

math.ST2019★ 88 cited

The generalization error of max-margin linear classifiers: Benign overfitting and high dimensional asymptotics in the overparametrized regime

Andrea Montanari, Feng Ruan, Youngtak Sohn +1

Modern machine learning classifiers often exhibit vanishing classification error on the training set. They achieve this by learning nonlinear representations of the inputs that map…

math.ST2019

Multivariate Distributionally Robust Convex Regression under Absolute Error Loss

Jose Blanchet, Peter W. Glynn, Jun Yan +1

This paper proposes a novel non-parametric multidimensional convex regression estimator which is designed to be robust to adversarial perturbations in the empirical measure. We min…

math.ST2018

Adapting to Unknown Noise Distribution in Matrix Denoising

Andrea Montanari, Feng Ruan, Jun Yan

We consider the problem of estimating an unknown matrix , from observations where $\bold…