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ORCIDZijian Guo 0003
Person information
- affiliation: Rutgers - The State University of New Jersey, Department of Statistics, Piscataway, NJ, USA
- affiliation (PhD 2017): University of Pennsylvania, Wharton School, Philadelphia, PA, USA
Other persons with the same name
- Zijian Guo (aka: Zi-Jian Guo) — disambiguation page
- Zijian Guo 0001 (aka: Zi-Jian Guo 0001) — Dalian University of Technology (DUT), Key Laboratory of Coastal and Offshore Engineering, Dalian, China (and 1 more)
- Zijian Guo 0002
![[0000-0002-9791-6749]](/https://anthro-https-dblp.org/img/orcid-mark.12x12.png "0000-0002-9791-6749")
— Boston University, Department of Electrical and Computer Engineering, MA, USA - Zijian Guo 0004 — Hong Kong Polytechnic University, Department of Land Surveying and Geo-Informatics, Hong Kong
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2020 – today
- 2026
[j6]Zijian Guo, Wei Yuan, Cunhui Zhang:
Decorrelated Local Linear Estimator: Inference for Non-linear Effects in High-dimensional Additive Models. J. Mach. Learn. Res. 27: 27:1-27:79 (2026)- [i6]Xin Xiong, Zijian Guo, Haobo Zhu, Chuan Hong, Jordan W. Smoller, Tianxi Cai, Molei Liu:
Adversarial Drift-Aware Predictive Transfer: Toward Durable Clinical AI. CoRR abs/2601.11860 (2026) - 2025
- [j5]Prabrisha Rakshit, Zhenyu Wang, T. Tony Cai, Zijian Guo:
SIHR: Statistical Inference in High-Dimensional Linear and Logistic Regression Models. R J. 16(3): 27-45 (2025) - [i5]Yihong Gu, Cong Fang, Yang Xu, Zijian Guo, Jianqing Fan:
Fundamental Computational Limits in Pursuing Invariant Causal Prediction and Invariance-Guided Regularization. CoRR abs/2501.17354 (2025) - [i4]Zhenyu Wang, Molei Liu, Jing Lei, Francis Bach, Zijian Guo:
StablePCA: Learning Shared Representations across Multiple Sources via Minimax Optimization. CoRR abs/2505.00940 (2025) - 2024
- [i3]Zhenyu Wang, Yifan Hu, Peter Bühlmann, Zijian Guo:
Causal Invariance Learning via Efficient Optimization of a Nonconvex Objective. CoRR abs/2412.11850 (2024) - 2023
- [j4]Jue Hou, Zijian Guo, Tianxi Cai:
Surrogate Assisted Semi-supervised Inference for High Dimensional Risk Prediction. J. Mach. Learn. Res. 24: 265:1-265:58 (2023) - [i2]Zhenyu Wang, Peter Bühlmann, Zijian Guo:
Distributionally Robust Machine Learning with Multi-source Data. CoRR abs/2309.02211 (2023) - [i1]Xin Xiong, Zijian Guo, Tianxi Cai:
Distributionally Robust Transfer Learning. CoRR abs/2309.06534 (2023) - 2022
- [j3]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:
SurvMaximin: Robust federated approach to transporting survival risk prediction models. J. Biomed. Informatics 134: 104176 (2022) - 2021
- [j2]Zijian Guo, Prabrisha Rakshit, Daniel S. Herman, Jinbo Chen:
Inference for the Case Probability in High-dimensional Logistic Regression. J. Mach. Learn. Res. 22: 254:1-254:54 (2021)
2010 – 2019
- 2016
- [j1]Zijian Guo, Dylan S. Small:
Control Function Instrumental Variable Estimation of Nonlinear Causal Effect Models. J. Mach. Learn. Res. 17: 100:1-100:35 (2016)
Coauthor Index
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