41 citations · 111 across the 29 of their papers we have counts for
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stat.ML2023★ 1 cited
On Excess Risk Convergence Rates of Neural Network Classifiers
Hyunouk Ko, Namjoon Suh, Xiaoming Huo
The recent success of neural networks in pattern recognition and classification problems suggests that neural networks possess qualities distinct from other more classical classifi…
stat.ML2023★ 1 cited
Classification of Data Generated by Gaussian Mixture Models Using Deep ReLU Networks
Tian-Yi Zhou, Xiaoming Huo
This paper studies the binary classification of unbounded data from generated under Gaussian Mixture Models (GMMs) using deep ReLU neural networks. We obtain $\unic…
stat.ML2023
Adjusted Wasserstein Distributionally Robust Estimator in Statistical Learning
Yiling Xie, Xiaoming Huo
We propose an adjusted Wasserstein distributionally robust estimator -- based on a nonlinear transformation of the Wasserstein distributionally robust (WDRO) estimator in statistic…