Jiji Zhang

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 38

Top Topics

Conditional Dependence

Equivalence Class

Causal Discovery

Top Venues

Publications

Zhuangyan Fang, Shengyu Zhu, Jiji Zhang, Yue Liu, Zhitang Chen, Yangbo He
On Low-Rank Directed Acyclic Graphs and Causal Structure Learning. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Guang-Yuan Hao, Jiji Zhang, Biwei Huang, Hao Wang, Kun Zhang
Natural Counterfactuals With Necessary Backtracking. CoRR (2024)
Zeyu Tang, Jiji Zhang, Kun Zhang
What-is and How-to for Fairness in Machine Learning: A Survey, Reflection, and Perspective. ACM Comput. Surv. 55 (13s) (2023)
Debo Cheng, Jiuyong Li, Lin Liu, Jiji Zhang, Jixue Liu, Thuc Duy Le
Local Search for Efficient Causal Effect Estimation. IEEE Trans. Knowl. Data Eng. 35 (9) (2023)
Jingzhi Fang, Jiji Zhang
A Characterization of Lewisian Causal Models. LORI (2023)
Xinwei Shen, Shengyu Zhu, Jiji Zhang, Shoubo Hu, Zhitang Chen
Reframed GES with a neural conditional dependence measure. UAI (2022)
Xinwei Shen, Shengyu Zhu, Jiji Zhang, Shoubo Hu, Zhitang Chen
Reframed GES with a Neural Conditional Dependence Measure. CoRR (2022)
Amin Jaber, Adèle H. Ribeiro, Jiji Zhang, Elias Bareinboim
Causal Identification under Markov equivalence: Calculus, Algorithm, and Completeness. NeurIPS (2022)
Debo Cheng, Jiuyong Li, Lin Liu, Jiji Zhang, Thuc Duy Le, Jixue Liu
Ancestral Instrument Method for Causal Inference without Complete Knowledge. IJCAI (2022)
Zeyu Tang, Jiji Zhang, Kun Zhang
What-Is and How-To for Fairness in Machine Learning: A Survey, Reflection, and Perspective. CoRR (2022)
Yimu Yin, Jiji Zhang
Markov categories, causal theories, and the do-calculus. CoRR (2022)
Yike Guo, Qifeng Liu, Jie Chen, Wei Xue, Henrik J. Jensen, Fernando Rosas, Jeffrey Shaw, Xing Wu, Jiji Zhang, Jianliang Xu
Pathway to Future Symbiotic Creativity. CoRR (2022)
Debo Cheng, Jiuyong Li, Lin Liu, Jiji Zhang, Thuc Duy Le, Jixue Liu
Ancestral instrument method for causal inference without a causal graph. CoRR (2022)
Ignavier Ng, Yujia Zheng, Jiji Zhang, Kun Zhang
Reliable Causal Discovery with Improved Exact Search and Weaker Assumptions. CoRR (2022)
Jiji Zhang, Teddy Seidenfeld, Hailin Liu
Subjective causal networks and indeterminate suppositional credences. Synth. 198 (27) (2021)
Ignavier Ng, Yujia Zheng, Jiji Zhang, Kun Zhang
Reliable Causal Discovery with Improved Exact Search and Weaker Assumptions. NeurIPS (2021)
Zhuangyan Fang, Shengyu Zhu, Jiji Zhang, Yue Liu, Zhitang Chen, Yangbo He
Low Rank Directed Acyclic Graphs and Causal Structure Learning. CoRR (2020)
Hanti Lin, Jiji Zhang
On Learning Causal Structures from Non-Experimental Data without Any Faithfulness Assumption. ALT (2020)
Biwei Huang, Kun Zhang, Jiji Zhang, Joseph D. Ramsey, Ruben Sanchez-Romero, Clark Glymour, Bernhard Schölkopf
Causal Discovery from Heterogeneous/Nonstationary Data. J. Mach. Learn. Res. 21 (2020)
Zhalama, Jiji Zhang, Frederick Eberhardt, Wolfgang Mayer, Mark Junjie Li
ASP-based Discovery of Semi-Markovian Causal Models under Weaker Assumptions. CoRR (2019)
Biwei Huang, Kun Zhang, Jiji Zhang, Joseph D. Ramsey, Ruben Sanchez-Romero, Clark Glymour, Bernhard Schölkopf
Causal Discovery from Heterogeneous/Nonstationary Data. CoRR (2019)
Amin Jaber, Jiji Zhang, Elias Bareinboim
Causal Identification under Markov Equivalence: Completeness Results. ICML (2019)
Amin Jaber, Jiji Zhang, Elias Bareinboim
On Causal Identification under Markov Equivalence. IJCAI (2019)
Amin Jaber, Jiji Zhang, Elias Bareinboim
Identification of Conditional Causal Effects under Markov Equivalence. NeurIPS (2019)
Zhalama, Jiji Zhang, Frederick Eberhardt, Wolfgang Mayer, Mark Junjie Li
ASP-based Discovery of Semi-Markovian Causal Models under Weaker Assumptions. IJCAI (2019)
Hanti Lin, Jiji Zhang
How to Tackle an Extremely Hard Learning Problem: Learning Causal Structures from Non-Experimental Data without the Faithfulness Assumption or the Like. CoRR (2018)
Amin Jaber, Jiji Zhang, Elias Bareinboim
A Graphical Criterion for Effect Identification in Equivalence Classes of Causal Diagrams. IJCAI (2018)
Jiji Zhang, Hailin Liu, Teddy Seidenfeld
Agreeing to disagree and dilation. Int. J. Approx. Reason. 101 (2018)
Amin Jaber, Jiji Zhang, Elias Bareinboim
Causal Identification under Markov Equivalence. UAI (2018)
Amin Jaber, Jiji Zhang, Elias Bareinboim
Causal Identification under Markov Equivalence. CoRR (2018)
Kun Zhang, Biwei Huang, Jiji Zhang, Clark Glymour, Bernhard Schölkopf
Causal Discovery from Nonstationary/Heterogeneous Data: Skeleton Estimation and Orientation Determination. IJCAI (2017)
Jiji Zhang, Hailin Liu, Teddy Seidenfeld
Agreeing to Disagree and Dilation. ISIPTA (2017)
Zhalama, Jiji Zhang, Frederick Eberhardt, Wolfgang Mayer
SAT-Based Causal Discovery under Weaker Assumptions. UAI (2017)
Biwei Huang, Kun Zhang, Jiji Zhang, Ruben Sanchez-Romero, Clark Glymour, Bernhard Schölkopf
Behind Distribution Shift: Mining Driving Forces of Changes and Causal Arrows. ICDM (2017)
Zhalama, Jiji Zhang, Wolfgang Mayer
Weakening faithfulness: some heuristic causal discovery algorithms. Int. J. Data Sci. Anal. 3 (2) (2017)
Jiji Zhang, Peter Spirtes
The three faces of faithfulness. Synth. 193 (4) (2016)
Kun Zhang, Jiji Zhang, Biwei Huang, Bernhard Schölkopf, Clark Glymour
On the Identifiability and Estimation of Functional Causal Models in the Presence of Outcome-Dependent Selection. UAI (2016)
Kun Zhang, Zhikun Wang, Jiji Zhang, Bernhard Schölkopf
On Estimation of Functional Causal Models: General Results and Application to the Post-Nonlinear Causal Model. ACM Trans. Intell. Syst. Technol. 7 (2) (2016)
Kun Zhang, Jiji Zhang, Bernhard Schölkopf
Distinguishing Cause from Effect Based on Exogeneity. CoRR (2015)
Jiji Zhang, Wai-Yin Lam, Rafael De Clercq
A Peculiarity in Pearl's Logic of Interventionist Counterfactuals. J. Philos. Log. 42 (5) (2013)
Jiji Zhang
A Lewisian Logic of Causal Counterfactuals. Minds Mach. 23 (1) (2013)
Jiji Zhang, Peter Spirtes
A Transformational Characterization of Markov Equivalence for Directed Acyclic Graphs with Latent Variables CoRR (2012)
Ayesha R. Ali, Thomas S. Richardson, Peter Spirtes, Jiji Zhang
Towards Characterizing Markov Equivalence Classes for Directed Acyclic Graphs with Latent Variables CoRR (2012)
Jiji Zhang, Peter Spirtes
Strong Faithfulness and Uniform Consistency in Causal Inference CoRR (2012)
Jiji Zhang
A Characterization of Markov Equivalence Classes for Directed Acyclic Graphs with Latent Variables CoRR (2012)
Joseph D. Ramsey, Jiji Zhang, Peter Spirtes
Adjacency-Faithfulness and Conservative Causal Inference. CoRR (2012)
Jiji Zhang, Ricardo Bezerra de Andrade e Silva
Discussion of "Learning Equivalence Classes of Acyclic Models with Latent and Selection Variables from Multiple Datasets with Overlapping Variables". AISTATS (2011)
Jiji Zhang, Peter Spirtes
Intervention, determinism, and the causal minimality condition. Synth. 182 (3) (2011)
Clark Glymour, David Danks, Bruce Glymour, Frederick Eberhardt, Joseph D. Ramsey, Richard Scheines, Peter Spirtes, Choh Man Teng, Jiji Zhang
Actual causation: a stone soup essay. Synth. 175 (2) (2010)
Jiji Zhang, Peter Spirtes
Detection of Unfaithfulness and Robust Causal Inference. Minds Mach. 18 (2) (2008)
Jiji Zhang
Error probabilities for inference of causal directions. Synth. 163 (3) (2008)
Jiji Zhang
Causal Reasoning with Ancestral Graphs. J. Mach. Learn. Res. 9 (2008)
Jiji Zhang
On the completeness of orientation rules for causal discovery in the presence of latent confounders and selection bias. Artif. Intell. 172 (16-17) (2008)
Jiji Zhang
A Characterization of Markov Equivalence Classes for Directed Acyclic Graphs with Latent Variables. UAI (2007)
Jiji Zhang
Generalized Do-Calculus with Testable Causal Assumptions. AISTATS (2007)
Joseph D. Ramsey, Jiji Zhang, Peter Spirtes
Adjacency-Faithfulness and Conservative Causal Inference. UAI (2006)
Jiji Zhang, Peter Spirtes
A Transformational Characterization of Markov Equivalence for Directed Acyclic Graphs with Latent Variables. UAI (2005)
Ayesha R. Ali, Thomas S. Richardson, Peter Spirtes, Jiji Zhang
Towards Characterizing Markov Equivalence Classes for Directed Acyclic Graphs with Latent Variables. UAI (2005)
Ricardo Bezerra de Andrade e Silva, Jiji Zhang, James G. Shanahan
Probabilistic workflow mining. KDD (2005)
Jiji Zhang, Peter Spirtes
Strong Faithfulness and Uniform Consistency in Causal Inference. UAI (2003)