Publications (7)
Estimation and inference of high-dimensional partially linear regression models with latent factors
Yanmei Shi, Meiling Hao, Yanlin Tang +1
In this paper, we introduce a novel high-dimensional Factor-Adjusted sparse Partially Linear regression Model (FAPLM), to integrate the linear effects of high-dimensional latent fa…
High-dimensional inference for single-index model with latent factors
Yanmei Shi, Meiling Hao, Yanlin Tang +2
Models with latent factors recently attract a lot of attention. However, most investigations focus on linear regression models and thus cannot capture nonlinearity. To address this…
Heterogeneous Quantile Treatment Effect Estimation for Longitudinal Data with High-Dimensional Confounding
Zhixin Qiu, Huichen Zhu, Wenjie Wang +1
Causal inference plays a fundamental role in various real-world applications. However, in the motivating non-small cell lung cancer (NSCLC) study, it is challenging to estimate the…
Distribution-Free Prediction Sets for Regression under Target Shift
Menghan Yi, Yanlin Tang, Huixia Judy Wang
In real-world applications, the limited availability of labeled outcomes presents significant challenges for statistical inference due to high collection costs, technical barriers,…
Spatially Clustered Varying Coefficient Model
Fangzheng Lin, Yanlin Tang, Huichen Zhu +1
In various applications with large spatial regions, the relationship between the response variable and the covariates is expected to exhibit complex spatial patterns. We propose a…
QiMeng-NeuComBack: Self-Evolving Translation from IR to Assembly Code
Hainan Fang, Yuanbo Wen, Jun Bi +8
Compilers, while essential, are notoriously complex systems that demand prohibitively expensive human expertise to develop and maintain. The recent advancements in Large Language M…