Geng, Zhi

23 publications

ICML 2025 Causal Attribution Analysis for Continuous Outcomes Shanshan Luo, Yu Yixuan, Chunchen Liu, Feng Xie, Zhi Geng

ICML 2025 Data-Driven Selection of Instrumental Variables for Additive Nonlinear, Constant Effects Models Xichen Guo, Feng Xie, Yan Zeng, Hao Zhang, Zhi Geng

ICML 2025 Fairness on Principal Stratum: A New Perspective on Counterfactual Fairness Haoxuan Li, Zeyu Tang, Zhichao Jiang, Zhuangyan Fang, Yue Liu, Zhi Geng, Kun Zhang

ICML 2025 Local Identifying Causal Relations in the Presence of Latent Variables Zheng Li, Zeyu Liu, Feng Xie, Hao Zhang, Chunchen Liu, Zhi Geng

NeurIPS 2025 Local Learning for Covariate Selection in Nonparametric Causal Effect Estimation with Latent Variables Zheng Li, Xichen Guo, Feng Xie, Yan Zeng, Hao Zhang, Zhi Geng

NeurIPS 2024 A Local Method for Satisfying Interventional Fairness with Partially Known Causal Graphs Haoxuan Li, Yue Liu, Zhi Geng, Kun Zhang

ICML 2024 Automating the Selection of Proxy Variables of Unmeasured Confounders Feng Xie, Zhengming Chen, Shanshan Luo, Wang Miao, Ruichu Cai, Zhi Geng

ICLR 2024 Be Aware of the Neighborhood Effect: Modeling Selection Bias Under Interference Haoxuan Li, Chunyuan Zheng, Sihao Ding, Peng Wu, Zhi Geng, Fuli Feng, Xiangnan He

ICLR 2024 Debiased Collaborative Filtering with Kernel-Based Causal Balancing Haoxuan Li, Chunyuan Zheng, Yanghao Xiao, Peng Wu, Zhi Geng, Xu Chen, Peng Cui

JMLR 2024 Generalized Independent Noise Condition for Estimating Causal Structure with Latent Variables Feng Xie, Biwei Huang, Zhengming Chen, Ruichu Cai, Clark Glymour, Zhi Geng, Kun Zhang

NeurIPS 2024 Identification and Estimation of the Bi-Directional MR with Some Invalid Instruments Feng Xie, Zhen Yao, Lin Xie, Yan Zeng, Zhi Geng

ICML 2024 Local Causal Structure Learning in the Presence of Latent Variables Feng Xie, Zheng Li, Peng Wu, Yan Zeng, Chunchen Liu, Zhi Geng

ICML 2024 Relaxing the Accurate Imputation Assumption in Doubly Robust Learning for Debiased Collaborative Filtering Haoxuan Li, Chunyuan Zheng, Shuyi Wang, Kunhan Wu, Eric Wang, Peng Wu, Zhi Geng, Xu Chen, Xiao-Hua Zhou

UAI 2023 Conditional Counterfactual Causal Effect for Individual Attribution Ruiqi Zhao, Lei Zhang, Shengyu Zhu, Zitong Lu, Zhenhua Dong, Chaoliang Zhang, Jun Xu, Zhi Geng, Yangbo He

NeurIPS 2023 Removing Hidden Confounding in Recommendation: A Unified Multi-Task Learning Approach Haoxuan Li, Kunhan Wu, Chunyuan Zheng, Yanghao Xiao, Hao Wang, Zhi Geng, Fuli Feng, Xiangnan He, Peng Wu

ICML 2023 Trustworthy Policy Learning Under the Counterfactual No-Harm Criterion Haoxuan Li, Chunyuan Zheng, Yixiao Cao, Zhi Geng, Yue Liu, Peng Wu

ICML 2022 Identification of Linear Non-Gaussian Latent Hierarchical Structure Feng Xie, Biwei Huang, Zhengming Chen, Yangbo He, Zhi Geng, Kun Zhang

UAI 2020 Collapsible IDA: Collapsing Parental Sets for Locally Estimating Possible Causal Effects Yue Liu, Zhuangyan Fang, Yangbo He, Zhi Geng

JMLR 2020 Local Causal Network Learning for Finding Pairs of Total and Direct Effects Yue Liu, Zhuangyan Fang, Yangbo He, Zhi Geng, Chunchen Liu

JMLR 2008 A Recursive Method for Structural Learning of Directed Acyclic Graphs Xianchao Xie, Zhi Geng

JMLR 2008 Active Learning of Causal Networks with Intervention Experiments and Optimal Designs Yang-Bo He, Zhi Geng

JMLR 2008 Structural Learning of Chain Graphs via Decomposition Zongming Ma, Xianchao Xie, Zhi Geng

ALT 2005 Learning Causal Structures Based on Markov Equivalence Class Yang Bo He, Zhi Geng, Xun Liang