16 citations · 23 across the 11 of their papers we have counts for
11 papers
Token-Level Likelihood-Array Regression for Membership Inference and AI-Generated Text Detection
Jiajun Sun, Zhanrui Cai
Membership inference asks whether a text was used to train a language model, whereas AI-generated text detection asks whether it was generated by a language model rather than writt…
A General Stability Approach to False Discovery Rate Control
Jiajun Sun, Zhanrui Cai, Wei Zhong
Stability and reproducibility are essential considerations in various applications of statistical methods. False Discovery Rate (FDR) control methods are able to control false sign…
Knockoffs Inference under Privacy Constraints
Zhanrui Cai, Yingying Fan, Lan Gao
Model-X knockoff framework offers a model-free variable selection method that ensures finite sample false discovery rate (FDR) control. However, the complexity of generating knocko…
Penalized Sparse Covariance Regression with High Dimensional Covariates
Yuan Gao, Zhiyuan Zhang, Zhanrui Cai +3
Covariance regression offers an effective way to model the large covariance matrix with the auxiliary similarity matrices. In this work, we propose a sparse covariance regression (…
Model-free Change-point Detection using AUC of a Classifier
Rohit Kanrar, Feiyu Jiang, Zhanrui Cai
In contemporary data analysis, it is increasingly common to work with non-stationary complex data sets. These data sets typically extend beyond the classical low-dimensional Euclid…
Adaptive False Discovery Rate Control with Privacy Guarantee
Xintao Xia, Zhanrui Cai
Differentially private multiple testing procedures can protect the information of individuals used in hypothesis tests while guaranteeing a small fraction of false discoveries. In…
Robust Model Selection with Application in Single-Cell Multiomics Data
Zhanrui Cai
Model selection is critical in the modern statistics and machine learning community. However, most existing works do not apply to heavy-tailed data, which are commonly encountered…
How Much Does Home Field Advantage Matter in Soccer Games? A Causal Inference Approach for English Premier League Analysis
Chen Wang, Katherine Price, Hengrui Cai +3
In many sports, it is commonly believed that the home team has an advantage over the visiting team, known as the home field advantage. Yet its causal effect on team performance is…
Asymptotic Distribution-Free Independence Test for High Dimension Data
Zhanrui Cai, Jing Lei, Kathryn Roeder
Test of independence is of fundamental importance in modern data analysis, with broad applications in variable selection, graphical models, and causal inference. When the data is h…
A Distribution Free Conditional Independence Test with Applications to Causal Discovery
Zhanrui Cai, Runze Li, Yaowu Zhang
This paper is concerned with test of the conditional independence. We first establish an equivalence between the conditional independence and the mutual independence. Based on the…
One Step to Efficient Synthetic Data
Jordan Awan, Zhanrui Cai
A common approach to synthetic data is to sample from a fitted model. We show that under general assumptions, this approach results in a sample with inefficient estimators and whos…