41 citations · 111 across the 29 of their papers we have counts for
6 papers · 1 filter
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…
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…
Conformalization of Sparse Generalized Linear Models
Etash Kumar Guha, Eugene Ndiaye, Xiaoming Huo
Given a sequence of observable variables , the conformal prediction method estimates a confidence set for given that is vali…
Generalization Bounds for Magnitude-Based Pruning via Sparse Matrix Sketching
Etash Kumar Guha, Prasanjit Dubey, Xiaoming Huo
In this paper, we derive a novel bound on the generalization error of Magnitude-Based pruning of overparameterized neural networks. Our work builds on the bounds in Arora et al. [2…
A Survey of Numerical Algorithms that can Solve the Lasso Problems
Yujie Zhao, Xiaoming Huo
In statistics, the least absolute shrinkage and selection operator (Lasso) is a regression method that performs both variable selection and regularization. There is a lot of litera…
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…