Zijian Guo

According to our database, Zijian Guo authored at least 12 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Adversarial Drift-Aware Predictive Transfer: Toward Durable Clinical AI.

Xin Xiong, Zijian Guo, Haobo Zhu, Chuan Hong, Jordan W. Smoller, Tianxi Cai, Molei Liu

CoRR, January, 2026

Decorrelated Local Linear Estimator: Inference for Non-linear Effects in High-dimensional Additive Models.

Zijian Guo, Wei Yuan, Cunhui Zhang

J. Mach. Learn. Res., 2026

2025

StablePCA: Learning Shared Representations across Multiple Sources via Minimax Optimization.

Zhenyu Wang, Molei Liu, Jing Lei, Francis Bach, Zijian Guo

CoRR, May, 2025

Fundamental Computational Limits in Pursuing Invariant Causal Prediction and Invariance-Guided Regularization.

Yihong Gu, Cong Fang, Yang Xu, Zijian Guo, Jianqing Fan

CoRR, January, 2025

SIHR: Statistical Inference in High-Dimensional Linear and Logistic Regression Models.

Prabrisha Rakshit, Zhenyu Wang, T. Tony Cai, Zijian Guo

R J., 2025

2024

Causal Invariance Learning via Efficient Optimization of a Nonconvex Objective.

Zhenyu Wang, Yifan Hu, Peter Bühlmann, Zijian Guo

CoRR, 2024

2023

Surrogate Assisted Semi-supervised Inference for High Dimensional Risk Prediction.

Jue Hou, Zijian Guo, Tianxi Cai

J. Mach. Learn. Res., 2023

Distributionally Robust Transfer Learning.

Xin Xiong, Zijian Guo, Tianxi Cai

CoRR, 2023

Distributionally Robust Machine Learning with Multi-source Data.

Zhenyu Wang, Peter Bühlmann, Zijian Guo

CoRR, 2023

2022

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, Rui Duan, Nathan P. Palmer, Meghan R. Hutch, Alba Gutiérrez-Sacristán, Riccardo Bellazzi, Luca Chiovato, Kelly Cho, Arianna Dagliati, Hossein Estiri, Noelia García-Barrio, Romain Griffier, David A. Hanauer, Yuk-Lam Ho, John H. Holmes, Mark S. Keller, Jeffrey G. Klann, Sehi L'Yi, Sara Lozano-Zahonero, Sarah E. Maidlow, Adeline Makoudjou, Alberto Malovini, Bertrand Moal, Jason H. Moore, Michele Morris, Danielle L. Mowery, Shawn N. Murphy, Antoine Neuraz, Kee Yuan Ngiam, Gilbert S. Omenn, Lav P. Patel, Miguel Pedrera-Jiménez, Andrea Prunotto, Malarkodi J. Samayamuthu, Fernando J. Sanz Vidorreta, Emily Schriver, Petra Schubert, Pablo Serrano-Balazote, Andrew M. South, Amelia L. M. Tan, Byorn W. L. Tan, Valentina Tibollo, Patric Tippmann, Shyam Visweswaran, Zongqi Xia, William Yuan, Daniela Zöller, Isaac S. Kohane, Paul Avillach, Zijian Guo, Tianxi Cai

J. Biomed. Informatics, 2022

2021

Inference for the Case Probability in High-dimensional Logistic Regression.

Zijian Guo, Prabrisha Rakshit, Daniel S. Herman, Jinbo Chen

J. Mach. Learn. Res., 2021

2016

Control Function Instrumental Variable Estimation of Nonlinear Causal Effect Models.

Zijian Guo, Dylan S. Small

J. Mach. Learn. Res., 2016