Control Function Instrumental Variable Estimation of Nonlinear Causal Effect Models. - Zijian Guo 003; Dylan S. Small (J. Mach. Learn. Res., 2016)

Inference for the Case Probability in High-dimensional Logistic Regression. - Zijian Guo 003; Prabrisha Rakshit; Daniel S. Herman; Jinbo Chen (J. Mach. Learn. Res., 2021)

SurvMaximin: Robust federated approach to transporting survival risk prediction models. - Xuan Wang; Harrison G. Zhang; Xin Xiong; Chuan Hong; Griffin M. Weber; Gabriel A. Brat; Clara-Lea Bonzel; Yuan Luo 001; Rui Duan 004; Nathan P. Palmer; Meghan R. Hutch; Alba Gutiérrez-Sacristán; et al. (J. Biomed. Informatics, 2022)

Distributionally Robust Machine Learning with Multi-source Data. - Zhenyu Wang; Peter Bühlmann; Zijian Guo 003 (CoRR, 2023)

Distributionally Robust Transfer Learning. - Xin Xiong; Zijian Guo 003; Tianxi Cai (CoRR, 2023)

Surrogate Assisted Semi-supervised Inference for High Dimensional Risk Prediction. - Jue Hou; Zijian Guo 003; Tianxi Cai (J. Mach. Learn. Res., 2023)

Causal Invariance Learning via Efficient Optimization of a Nonconvex Objective. - Zhenyu Wang; Yifan Hu; Peter Bühlmann; Zijian Guo 003 (CoRR, 2024)

SIHR: Statistical Inference in High-Dimensional Linear and Logistic Regression Models. - Prabrisha Rakshit; Zhenyu Wang; T. Tony Cai; Zijian Guo 003 (R J., 2025)

Fundamental Computational Limits in Pursuing Invariant Causal Prediction and Invariance-Guided Regularization. - Yihong Gu; Cong Fang 001; Yang Xu 055; Zijian Guo 003; Jianqing Fan (CoRR, 2025)

StablePCA: Learning Shared Representations across Multiple Sources via Minimax Optimization. - Zhenyu Wang; Molei Liu; Jing Lei; Francis Bach 001; Zijian Guo 003 (CoRR, 2025)