7 citations · 10 across the 6 of their papers we have counts for
6 papers
Distribution Estimation of Contaminated Data via DNN-based MoM-GANs
Fang Xie, Lihu Xu, Qiuran Yao +1
This paper studies the distribution estimation of contaminated data by the MoM-GAN method, which combines generative adversarial net (GAN) and median-of-mean (MoM) estimation. We u…
Non-Asymptotic Guarantees for Robust Statistical Learning under Infinite Variance Assumption
Lihu Xu, Fang Yao, Qiuran Yao +1
There has been a surge of interest in developing robust estimators for models with heavy-tailed and bounded variance data in statistics and machine learning, while few works impose…
A Unified Light Framework for Real-time Fault Detection of Freight Train Images
Yang Zhang, Moyun Liu, Yang Yang +2
Real-time fault detection for freight trains plays a vital role in guaranteeing the security and optimal operation of railway transportation under stringent resource requirements.…
Non-asymptotic Optimal Prediction Error for Growing-dimensional Partially Functional Linear Models
Huiming Zhang, Xiaoyu Lei
Under the reproducing kernel Hilbert spaces (RKHS), we consider the penalized least-squares of the partially functional linear models (PFLM), whose predictor contains both function…
Multimodal Image-to-Image Translation via Mutual Information Estimation and Maximization
Zhiwen Zuo, Lei Zhao, Zhizhong Wang +5
Multimodal image-to-image translation (I2IT) aims to learn a conditional distribution that explores multiple possible images in the target domain given an input image in the source…
Weighted Lasso Estimates for Sparse Logistic Regression: Non-asymptotic Properties with Measurement Error
Huamei Huang, Yujing Gao, Huiming Zhang +1
When we are interested in high-dimensional system and focus on classification performance, the -penalized logistic regression is becoming important and popular. However,…