12 citations · 36 across the 16 of their papers we have counts for
16 papers
Efficient semi-supervised inference for logistic regression under case-control studies
Zhuojun Quan, Yuanyuan Lin, Kani Chen +1
Semi-supervised learning has received increasingly attention in statistics and machine learning. In semi-supervised learning settings, a labeled data set with both outcomes and cov…
Asymptotic Statistical Analysis of -divergence GAN
Xinwei Shen, Kani Chen, Tong Zhang
Generative Adversarial Networks (GANs) have achieved great success in data generation. However, its statistical properties are not fully understood. In this paper, we consider the…
IDEA: Interpretable Dynamic Ensemble Architecture for Time Series Prediction
Mengyue Zha, Kani Chen, Tong Zhang
We enhance the accuracy and generalization of univariate time series point prediction by an explainable ensemble on the fly. We propose an Interpretable Dynamic Ensemble Architectu…
Time Series Generation with Masked Autoencoder
Mengyue Zha, SiuTim Wong, Mengqi Liu +2
This paper shows that masked autoencoder with extrapolator (ExtraMAE) is a scalable self-supervised model for time series generation. ExtraMAE randomly masks some patches of the or…
Combining case-control studies for identifiability and efficiency improvement in logistic regression
Wenlu Tang, Yuanyuan Lin, Linlin Dai +1
Can two separate case-control studies, one about Hepatitis disease and the other about Fibrosis, for example, be combined together? It would be hugely beneficial if two or more sep…
Broken Adaptive Ridge Regression for Right-Censored Survival Data
Zhihua Sun, Yi Liu, Kani Chen +1
Broken adaptive ridge (BAR) is a computationally scalable surrogate to -penalized regression, which involves iteratively performing reweighted penalized regressions and…