88 citations · 333 across the 26 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…
stat.ML2019★ 63 cited
LassoNet: A Neural Network with Feature Sparsity
Ismael Lemhadri, Feng Ruan, Louis Abraham +1
Much work has been done recently to make neural networks more interpretable, and one obvious approach is to arrange for the network to use only a subset of the available features.…