14 citations · 28 across the 3 of their papers we have counts for
3 papers
stat.ML2021★ 13 cited
Benign Overfitting in Multiclass Classification: All Roads Lead to Interpolation
Ke Wang, Vidya Muthukumar, Christos Thrampoulidis
The literature on "benign overfitting" in overparameterized models has been mostly restricted to regression or binary classification; however, modern machine learning operates in t…
stat.ML2020★ 1 cited
Binary Classification of Gaussian Mixtures: Abundance of Support Vectors, Benign Overfitting and Regularization
Ke Wang, Christos Thrampoulidis
Deep neural networks generalize well despite being exceedingly overparameterized and being trained without explicit regularization. This curious phenomenon has inspired extensive r…
cs.LG2018★ 14 cited
PILAE: A Non-gradient Descent Learning Scheme for Deep Feedforward Neural Networks
P. Guo, K. Wang, X. L. Zhou
In this work, a non-gradient descent learning (NGDL) scheme was proposed for deep feedforward neural networks (DNN). It is known that an autoencoder can be used as the building blo…