Zijian Guo

12 papers Journal 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
Adversarial Drift-Aware Predictive Transfer: Toward Durable Clinical AI.
CoRR
Xin Xiong, Zijian Guo, Haobo Zhu, Chuan Hong, Jordan W. Smoller, Tianxi Cai, Molei Liu
2026 J jnl
Decorrelated Local Linear Estimator: Inference for Non-linear Effects in High-dimensional Additive Models.
J. Mach. Learn. Res.
Zijian Guo, Wei Yuan, Cunhui Zhang
2025 J jnl
Fundamental Computational Limits in Pursuing Invariant Causal Prediction and Invariance-Guided Regularization.
CoRR
Yihong Gu, Cong Fang, Yang Xu, Zijian Guo, Jianqing Fan
2025 J jnl
SIHR: Statistical Inference in High-Dimensional Linear and Logistic Regression Models.
R J.
Prabrisha Rakshit, Zhenyu Wang, T. Tony Cai, Zijian Guo
2025 J jnl
StablePCA: Learning Shared Representations across Multiple Sources via Minimax Optimization.
CoRR
Zhenyu Wang, Molei Liu, Jing Lei, Francis Bach, Zijian Guo
2024 J jnl
Causal Invariance Learning via Efficient Optimization of a Nonconvex Objective.
CoRR
Zhenyu Wang, Yifan Hu, Peter Bühlmann, Zijian Guo
2023 J jnl
Distributionally Robust Machine Learning with Multi-source Data.
CoRR
Zhenyu Wang, Peter Bühlmann, Zijian Guo
2023 J jnl
Distributionally Robust Transfer Learning.
CoRR
Xin Xiong, Zijian Guo, Tianxi Cai
2023 J jnl
Surrogate Assisted Semi-supervised Inference for High Dimensional Risk Prediction.
J. Mach. Learn. Res.
Jue Hou, Zijian Guo, Tianxi Cai
2022 J jnl
SurvMaximin: Robust federated approach to transporting survival risk prediction models.
J. Biomed. Informatics
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
2021 J jnl
Inference for the Case Probability in High-dimensional Logistic Regression.
J. Mach. Learn. Res.
Zijian Guo, Prabrisha Rakshit, Daniel S. Herman, Jinbo Chen
2016 J jnl
Control Function Instrumental Variable Estimation of Nonlinear Causal Effect Models.
J. Mach. Learn. Res.
Zijian Guo, Dylan S. Small