Zhang, Jiji

25 publications

NeurIPS 2024 Natural Counterfactuals with Necessary Backtracking Guang-Yuan Hao, Jiji Zhang, Biwei Huang, Hao Wang, Kun Zhang
NeurIPS 2024 On Causal Discovery in the Presence of Deterministic Relations Loka Li, Haoyue Dai, Hanin Al Ghothani, Biwei Huang, Jiji Zhang, Shahar Harel, Isaac Bentwich, Guangyi Chen, Kun Zhang
IJCAI 2022 Ancestral Instrument Method for Causal Inference Without Complete Knowledge Debo Cheng, Jiuyong Li, Lin Liu, Jiji Zhang, Thuc Duy Le, Jixue Liu
NeurIPS 2022 Causal Identification Under Markov Equivalence: Calculus, Algorithm, and Completeness Amin Jaber, Adele Ribeiro, Jiji Zhang, Elias Bareinboim
UAI 2022 Reframed GES with a Neural Conditional Dependence Measure Xinwei Shen, Shengyu Zhu, Jiji Zhang, Shoubo Hu, Zhitang Chen
NeurIPS 2021 Reliable Causal Discovery with Improved Exact Search and Weaker Assumptions Ignavier Ng, Yujia Zheng, Jiji Zhang, Kun Zhang
JMLR 2020 Causal Discovery from Heterogeneous/Nonstationary Data Biwei Huang, Kun Zhang, Jiji Zhang, Joseph Ramsey, Ruben Sanchez-Romero, Clark Glymour, Bernhard Schölkopf
ALT 2020 On Learning Causal Structures from Non-Experimental Data Without Any Faithfulness Assumption Hanti Lin, Jiji Zhang
IJCAI 2019 ASP-Based Discovery of Semi-Markovian Causal Models Under Weaker Assumptions Zhalama, Jiji Zhang, Frederick Eberhardt, Wolfgang Mayer, Mark Junjie Li
ICML 2019 Causal Identification Under Markov Equivalence: Completeness Results Amin Jaber, Jiji Zhang, Elias Bareinboim
NeurIPS 2019 Identification of Conditional Causal Effects Under Markov Equivalence Amin Jaber, Jiji Zhang, Elias Bareinboim
IJCAI 2019 On Causal Identification Under Markov Equivalence Amin Jaber, Jiji Zhang, Elias Bareinboim
IJCAI 2018 A Graphical Criterion for Effect Identification in Equivalence Classes of Causal Diagrams Amin Jaber, Jiji Zhang, Elias Bareinboim
UAI 2018 Causal Identification Under Markov Equivalence Amin Jaber, Jiji Zhang, Elias Bareinboim
IJCAI 2017 Causal Discovery from Nonstationary/Heterogeneous Data: Skeleton Estimation and Orientation Determination Kun Zhang, Biwei Huang, Jiji Zhang, Clark Glymour, Bernhard Schölkopf
UAI 2017 SAT-Based Causal Discovery Under Weaker Assumptions Zhalama, Jiji Zhang, Frederick Eberhardt, Wolfgang Mayer
UAI 2016 On the Identifiability and Estimation of Functional Causal Models in the Presence of Outcome-Dependent Selection Kun Zhang, Jiji Zhang, Biwei Huang, Bernhard Schölkopf, Clark Glymour
AISTATS 2011 Discussion of “Learning Equivalence Classes of Acyclic Models with Latent and Selection Variables from Multiple Datasets with Overlapping Variables” Jiji Zhang, Ricardo Silva
JMLR 2008 Causal Reasoning with Ancestral Graphs Jiji Zhang
UAI 2007 A Characterization of Markov Equivalence Classes for Directed Acyclic Graphs with Latent Variables Jiji Zhang
AISTATS 2007 Generalized Do-Calculus with Testable Causal Assumptions Jiji Zhang
UAI 2006 Adjacency-Faithfulness and Conservative Causal Inference Joseph D. Ramsey, Jiji Zhang, Peter Spirtes
UAI 2005 A Transformational Characterization of Markov Equivalence for Directed Acyclic Graphs with Latent Variables Jiji Zhang, Peter Spirtes
UAI 2005 Towards Characterizing Markov Equivalence Classes for Directed Acyclic Graphs with Latent Variables Ayesha R. Ali, Thomas S. Richardson, Peter Spirtes, Jiji Zhang
UAI 2003 Strong Faithfulness and Uniform Consistency in Causal Inference Jiji Zhang, Peter Spirtes