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

88 citations · 106 across the 3 of their papers we have counts for

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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★ 10 cited

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★ 8 cited

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…