Sai Li

11 catalog papers. Identity-linked publications and additional name matches are distinguished below.

ORCID: 0000-0002-6362-3593

Publications

• Doubly robust identification for bivariate causal discovery under unmeasured confounding — Biometrika 2026 (name-matched, not ORCID-linked)
• Differentially Private Estimation and Inference in High-Dimensional Regression with FDR Control — Journal of Machine Learning Research 2026 (name-matched, not ORCID-linked)
• A focusing framework for testing bi-directional causal effects in Mendelian randomization — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2025
• A Regression-Based Approach to Robust Estimation and Inference for Genetic Covariance — Journal of the American Statistical Association 2024
• Estimation and Inference for High-Dimensional Generalized Linear Models with Knowledge Transfer — Journal of the American Statistical Association 2024
• Transfer Learning in Large-Scale Gaussian Graphical Models with False Discovery Rate Control — Journal of the American Statistical Association 2023
• Targeting underrepresented populations in precision medicine: A federated transfer learning approach — The Annals of Applied Statistics 2023
• Comments on “A Scale-Free Approach for False Discovery Rate Control in Generalized Linear Models” — Journal of the American Statistical Association 2023
• Transfer learning for high-dimensional linear regression: Prediction, estimation and minimax optimality — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2022
• Inference for High-Dimensional Linear Mixed-Effects Models: A Quasi-Likelihood Approach — Journal of the American Statistical Association 2022
• Comment — Journal of the American Statistical Association 2015