Zijian Guo

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

ORCID: 0000-0002-2888-7016

Center for Data Science, Zhejiang University, Zhejiang, China

Publications

• Distributionally robust learning for multisource unsupervised domain adaptation — The Annals of Statistics 2026
• Post-selection inference for causal effects after causal discovery — Biometrika 2026
• Efficient Modeling of Surrogates to Improve Multi-source High-dimensional Integrative Regression — Journal of Machine Learning Research 2026 (name-matched, not ORCID-linked)
• Decorrelated Local Linear Estimator: Inference for Non-linear Effects in High-dimensional Additive Models — Journal of Machine Learning Research 2026 (name-matched, not ORCID-linked)
• Robustness Against Weak or Invalid Instruments: Exploring Nonlinear Treatment Models with Machine Learning — Journal of Machine Learning Research 2026 (name-matched, not ORCID-linked)
• Robust Inference for Federated Meta-Learning — Journal of the American Statistical Association 2025
• Statistical Inference for Maximin Effects: Identifying Stable Associations across Multiple Studies — Journal of the American Statistical Association 2024
• Causal inference with invalid instruments: post-selection problems and a solution using searching and sampling — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2023
• Surrogate Assisted Semi-supervised Inference for High Dimensional Risk Prediction — Journal of Machine Learning Research 2023 (name-matched, not ORCID-linked)
• Statistical Inference for High-Dimensional Generalized Linear Models With Binary Outcomes — Journal of the American Statistical Association 2023
• Doubly debiased lasso: High-dimensional inference under hidden confounding — The Annals of Statistics 2022
• Optimal statistical inference for individualized treatment effects in high-dimensional models — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2021
• Inference for the Case Probability in High-dimensional Logistic Regression — Journal of Machine Learning Research 2021 (name-matched, not ORCID-linked)
• Semisupervised inference for explained variance in high dimensional linear regression and its applications — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2020
• Optimal Estimation of Genetic Relatedness in High-Dimensional Linear Models — Journal of the American Statistical Association 2019
• Confidence intervals for causal effects with invalid instruments by using two-stage hard thresholding with voting — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2018
• Accuracy assessment for high-dimensional linear regression — The Annals of Statistics 2018
• Confidence intervals for high-dimensional linear regression: Minimax rates and adaptivity — The Annals of Statistics 2017
• Control Function Instrumental Variable Estimation of Nonlinear Causal Effect Models — Journal of Machine Learning Research 2016 (name-matched, not ORCID-linked)
• Guided Adversarial Robust Transfer Learning with Source Mixing — Journal of the American Statistical Association