4 papers
Multi-Source Prediction-Powered Inference
Wenhui Li, Fen Jiang, Xinyu Zhang
Prediction-powered inference integrates a small gold-standard dataset with large pseudo-labeled data, whose labels are generated by machine learning methods, to enhance statistical…
Estimation of Directed Acyclic Graphs by Frequentist Model Averaging
Huihang Liu, Wenhui Li, Xinyu Zhang
Directed acyclic graphs provide a fundamental tool for representing directed dependence structures in multivariate network data, and are widely used to model financial and economic…
Generalized optimal parameter-transfer learning through Mallows-type model averaging
Fen Jiang, Wenhui Li, Xinyu Zhang
In many economic applications, multiple source datasets are available, but their effective combination is challenging due to heterogeneity across datasets. To address this problem,…
PEARL: Performance-Enhanced Aggregated Representation Learning
Wenhui Li, Shijin Gong, Xinyu Zhang
Representation learning is a key technique in modern machine learning that enables models to identify meaningful patterns in complex data. However, different methods tend to extrac…