Xiaoming Huo
Georgia Institute of Technology
H-index: 30
North America-United States
Top articles of Xiaoming Huo
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Learning ability of interpolating deep convolutional neural networks | Applied and Computational Harmonic Analysis | Tian-Yi Zhou Xiaoming Huo | 2024/1/1 |
High-Dimensional Multivariate Linear Regression with Weighted Nuclear Norm Regularization | Journal of Computational and Graphical Statistics | Namjoon Suh Li-Hsiang Lin Xiaoming Huo | 2024/4/25 |
Approximation of RKHS Functionals by Neural Networks | arXiv preprint arXiv:2403.12187 | Tian-Yi Zhou Namjoon Suh Guang Cheng Xiaoming Huo | 2024/3/18 |
Asymptotic Behavior of Adversarial Training Estimator under -Perturbation | arXiv preprint arXiv:2401.15262 | Yiling Xie Xiaoming Huo | 2024/1/27 |
Universal Consistency of Wide and Deep ReLU Neural Networks and Minimax Optimal Convergence Rates for Kolmogorov-Donoho Optimal Function Classes | arXiv preprint arXiv:2401.04286 | Hyunouk Ko Xiaoming Huo | 2024/1/8 |
Accelerate the warm-up stage in the Lasso computation via a homotopic approach | Computational Statistics & Data Analysis | Yujie Zhao Xiaoming Huo | 2023/8/1 |
Adjusted Wasserstein Distributionally Robust Estimator in Statistical Learning | arXiv preprint arXiv:2303.15579 | Yiling Xie Xiaoming Huo | 2023/3/27 |
Conformalization of sparse generalized linear models | Etash Kumar Guha Eugene Ndiaye Xiaoming Huo | 2023/7/3 | |
Hot-spots detection in count data by Poisson assisted smooth sparse tensor decomposition | Journal of Applied Statistics | Yujie Zhao Xiaoming Huo Yajun Mei | 2023/10/26 |
On excess risk convergence rates of neural network classifiers | arXiv preprint arXiv:2309.15075 | Hyunouk Ko Namjoon Suh Xiaoming Huo | 2023/9/26 |
A survey of numerical algorithms that can solve the Lasso problems | Yujie Zhao Xiaoming Huo | 2023/7 | |
High-dimensional sparse index tracking based on a multi-step convex optimization approach | Quantitative Finance | Fangquan Shi Lianjie Shu Yiling Luo Xiaoming Huo | 2023/9/2 |
Generalization Bounds for Magnitude-Based Pruning via Sparse Matrix Sketching | arXiv preprint arXiv:2305.18789 | Etash Kumar Guha Prasanjit Dubey Xiaoming Huo | 2023/5/30 |
Classification of data generated by gaussian mixture models using deep relu networks | arXiv preprint arXiv:2308.08030 | Tian-Yi Zhou Xiaoming Huo | 2023/8/15 |
Improved rate of first order algorithms for entropic optimal transport | Yiling Luo Yiling Xie Xiaoming Huo | 2023/4/11 | |
A statistically and numerically efficient independence test based on random projections and distance covariance | Frontiers in Applied Mathematics and Statistics | Cheng Huang Xiaoming Huo | 2022/1/13 |
A promising new tool for fault diagnosis of railway wheelset bearings: SSO-based Kurtogram | ISA transactions | Cai Yi Yiqun Li Xiaoming Huo Kwok-Leung Tsui | 2022/9/1 |
A new sparse-learning model for maximum gap reduction of composite fuselage assembly | Technometrics | Juan Du Shanshan Cao Jeffrey H Hunt Xiaoming Huo Jianjun Shi | 2022/7/3 |
Covariance estimators for the root-sgd algorithm in online learning | arXiv preprint arXiv:2212.01259 | Yiling Luo Xiaoming Huo Yajun Mei | 2022/12/2 |
The Directional Bias Helps Stochastic Gradient Descent to Generalize in Kernel Regression Models | Yiling Luo Xiaoming Huo Yajun Mei | 2022/6/26 |
