7 citations · 7 across the 3 of their papers we have counts for
3 papers
stat.ML2022
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…
cs.LG2022
Distribution estimation and change-point estimation for time series via DNN-based GANs
Jianya Lu, Yingjun Mo, Zhijie Xiao +2
The generative adversarial networks (GANs) have recently been applied to estimating the distribution of independent and identically distributed data, and have attracted a lot of re…
stat.ML2022★ 7 cited
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…