Jiji Zhang - RankMe

63 papers A* 13A 11B 1Journal 35Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Generalized Causal Models with Ontological Dependencies. LORI Jingzhi Fang, Jiji Zhang
2024	A*	`conf`	Natural Counterfactuals With Necessary Backtracking. NeurIPS Guang-Yuan Hao, Jiji Zhang, Biwei Huang, Hao Wang, Kun Zhang
2024	J	`jnl`	Natural Counterfactuals With Necessary Backtracking. CoRR Guang-Yuan Hao, Jiji Zhang, Biwei Huang, Hao Wang, Kun Zhang
2024	A*	`conf`	On Causal Discovery in the Presence of Deterministic Relations. NeurIPS Loka Li, Haoyue Dai, Hanin Al Ghothani, Biwei Huang, Jiji Zhang, Shahar Harel, Isaac Bentwich, Guangyi Chen, Kun Zhang
2024	J	`jnl`	On Low-Rank Directed Acyclic Graphs and Causal Structure Learning. IEEE Trans. Neural Networks Learn. Syst. Zhuangyan Fang, Shengyu Zhu, Jiji Zhang, Yue Liu, Zhitang Chen, Yangbo He
2023	—	`conf`	A Characterization of Lewisian Causal Models. LORI Jingzhi Fang, Jiji Zhang
2023	J	`jnl`	Local Search for Efficient Causal Effect Estimation. IEEE Trans. Knowl. Data Eng. Debo Cheng, Jiuyong Li, Lin Liu, Jiji Zhang, Jixue Liu, Thuc Duy Le
2023	J	`jnl`	What-is and How-to for Fairness in Machine Learning: A Survey, Reflection, and Perspective. ACM Comput. Surv. Zeyu Tang, Jiji Zhang, Kun Zhang
2022	A*	`conf`	Ancestral Instrument Method for Causal Inference without Complete Knowledge. IJCAI Debo Cheng, Jiuyong Li, Lin Liu, Jiji Zhang, Thuc Duy Le, Jixue Liu
2022	J	`jnl`	Ancestral instrument method for causal inference without a causal graph. CoRR Debo Cheng, Jiuyong Li, Lin Liu, Jiji Zhang, Thuc Duy Le, Jixue Liu
2022	A*	`conf`	Causal Identification under Markov equivalence: Calculus, Algorithm, and Completeness. NeurIPS Amin Jaber, Adèle H. Ribeiro, Jiji Zhang, Elias Bareinboim
2022	J	`jnl`	Markov categories, causal theories, and the do-calculus. CoRR Yimu Yin, Jiji Zhang
2022	J	`jnl`	Pathway to Future Symbiotic Creativity. CoRR Yike Guo, Qifeng Liu, Jie Chen, Wei Xue, Henrik J. Jensen, Fernando Rosas, Jeffrey Shaw, Xing Wu, Jiji Zhang, Jianliang Xu
2022	J	`jnl`	Reframed GES with a Neural Conditional Dependence Measure. CoRR Xinwei Shen, Shengyu Zhu, Jiji Zhang, Shoubo Hu, Zhitang Chen
2022	A	`conf`	Reframed GES with a neural conditional dependence measure. UAI Xinwei Shen, Shengyu Zhu, Jiji Zhang, Shoubo Hu, Zhitang Chen
2022	J	`jnl`	Reliable Causal Discovery with Improved Exact Search and Weaker Assumptions. CoRR Ignavier Ng, Yujia Zheng, Jiji Zhang, Kun Zhang
2022	J	`jnl`	What-Is and How-To for Fairness in Machine Learning: A Survey, Reflection, and Perspective. CoRR Zeyu Tang, Jiji Zhang, Kun Zhang
2021	A*	`conf`	Reliable Causal Discovery with Improved Exact Search and Weaker Assumptions. NeurIPS Ignavier Ng, Yujia Zheng, Jiji Zhang, Kun Zhang
2021	J	`jnl`	Subjective causal networks and indeterminate suppositional credences. Synth. Jiji Zhang, Teddy Seidenfeld, Hailin Liu
2020	J	`jnl`	Causal Discovery from Heterogeneous/Nonstationary Data. J. Mach. Learn. Res. Biwei Huang, Kun Zhang, Jiji Zhang, Joseph D. Ramsey, Ruben Sanchez-Romero, Clark Glymour, Bernhard Schölkopf
2020	J	`jnl`	Low Rank Directed Acyclic Graphs and Causal Structure Learning. CoRR Zhuangyan Fang, Shengyu Zhu, Jiji Zhang, Yue Liu, Zhitang Chen, Yangbo He
2020	B	`conf`	On Learning Causal Structures from Non-Experimental Data without Any Faithfulness Assumption. ALT Hanti Lin, Jiji Zhang
2019	A*	`conf`	ASP-based Discovery of Semi-Markovian Causal Models under Weaker Assumptions. IJCAI Zhalama, Jiji Zhang, Frederick Eberhardt, Wolfgang Mayer, Mark Junjie Li
2019	J	`jnl`	ASP-based Discovery of Semi-Markovian Causal Models under Weaker Assumptions. CoRR Zhalama, Jiji Zhang, Frederick Eberhardt, Wolfgang Mayer, Mark Junjie Li
2019	J	`jnl`	Causal Discovery from Heterogeneous/Nonstationary Data. CoRR Biwei Huang, Kun Zhang, Jiji Zhang, Joseph D. Ramsey, Ruben Sanchez-Romero, Clark Glymour, Bernhard Schölkopf
2019	A*	`conf`	Causal Identification under Markov Equivalence: Completeness Results. ICML Amin Jaber, Jiji Zhang, Elias Bareinboim
2019	A*	`conf`	Identification of Conditional Causal Effects under Markov Equivalence. NeurIPS Amin Jaber, Jiji Zhang, Elias Bareinboim
2019	A*	`conf`	On Causal Identification under Markov Equivalence. IJCAI Amin Jaber, Jiji Zhang, Elias Bareinboim
2018	A*	`conf`	A Graphical Criterion for Effect Identification in Equivalence Classes of Causal Diagrams. IJCAI Amin Jaber, Jiji Zhang, Elias Bareinboim
2018	J	`jnl`	Agreeing to disagree and dilation. Int. J. Approx. Reason. Jiji Zhang, Hailin Liu, Teddy Seidenfeld
2018	A	`conf`	Causal Identification under Markov Equivalence. UAI Amin Jaber, Jiji Zhang, Elias Bareinboim
2018	J	`jnl`	Causal Identification under Markov Equivalence. CoRR Amin Jaber, Jiji Zhang, Elias Bareinboim
2018	J	`jnl`	How to Tackle an Extremely Hard Learning Problem: Learning Causal Structures from Non-Experimental Data without the Faithfulness Assumption or the Like. CoRR Hanti Lin, Jiji Zhang
2017	—	`conf`	Agreeing to Disagree and Dilation. ISIPTA Jiji Zhang, Hailin Liu, Teddy Seidenfeld
2017	A*	`conf`	Behind Distribution Shift: Mining Driving Forces of Changes and Causal Arrows. ICDM Biwei Huang, Kun Zhang, Jiji Zhang, Ruben Sanchez-Romero, Clark Glymour, Bernhard Schölkopf
2017	A*	`conf`	Causal Discovery from Nonstationary/Heterogeneous Data: Skeleton Estimation and Orientation Determination. IJCAI Kun Zhang, Biwei Huang, Jiji Zhang, Clark Glymour, Bernhard Schölkopf
2017	A	`conf`	SAT-Based Causal Discovery under Weaker Assumptions. UAI Zhalama, Jiji Zhang, Frederick Eberhardt, Wolfgang Mayer
2017	J	`jnl`	Weakening faithfulness: some heuristic causal discovery algorithms. Int. J. Data Sci. Anal. Zhalama, Jiji Zhang, Wolfgang Mayer
2016	J	`jnl`	On Estimation of Functional Causal Models: General Results and Application to the Post-Nonlinear Causal Model. ACM Trans. Intell. Syst. Technol. Kun Zhang, Zhikun Wang, Jiji Zhang, Bernhard Schölkopf
2016	A	`conf`	On the Identifiability and Estimation of Functional Causal Models in the Presence of Outcome-Dependent Selection. UAI Kun Zhang, Jiji Zhang, Biwei Huang, Bernhard Schölkopf, Clark Glymour
2016	J	`jnl`	The three faces of faithfulness. Synth. Jiji Zhang, Peter Spirtes
2015	J	`jnl`	Distinguishing Cause from Effect Based on Exogeneity. CoRR Kun Zhang, Jiji Zhang, Bernhard Schölkopf
2013	J	`jnl`	A Lewisian Logic of Causal Counterfactuals. Minds Mach. Jiji Zhang
2013	J	`jnl`	A Peculiarity in Pearl's Logic of Interventionist Counterfactuals. J. Philos. Log. Jiji Zhang, Wai-Yin Lam, Rafael De Clercq
2012	J	`jnl`	A Characterization of Markov Equivalence Classes for Directed Acyclic Graphs with Latent Variables CoRR Jiji Zhang
2012	J	`jnl`	A Transformational Characterization of Markov Equivalence for Directed Acyclic Graphs with Latent Variables CoRR Jiji Zhang, Peter Spirtes
2012	J	`jnl`	Adjacency-Faithfulness and Conservative Causal Inference. CoRR Joseph D. Ramsey, Jiji Zhang, Peter Spirtes
2012	J	`jnl`	Strong Faithfulness and Uniform Consistency in Causal Inference CoRR Jiji Zhang, Peter Spirtes
2012	J	`jnl`	Towards Characterizing Markov Equivalence Classes for Directed Acyclic Graphs with Latent Variables CoRR Ayesha R. Ali, Thomas S. Richardson, Peter Spirtes, Jiji Zhang
2011	A	`conf`	Discussion of "Learning Equivalence Classes of Acyclic Models with Latent and Selection Variables from Multiple Datasets with Overlapping Variables". AISTATS Jiji Zhang, Ricardo Bezerra de Andrade e Silva
2011	J	`jnl`	Intervention, determinism, and the causal minimality condition. Synth. Jiji Zhang, Peter Spirtes
2010	J	`jnl`	Actual causation: a stone soup essay. Synth. Clark Glymour, David Danks, Bruce Glymour, Frederick Eberhardt, Joseph D. Ramsey, Richard Scheines, Peter Spirtes, Choh Man Teng, Jiji Zhang
2008	J	`jnl`	Causal Reasoning with Ancestral Graphs. J. Mach. Learn. Res. Jiji Zhang
2008	J	`jnl`	Detection of Unfaithfulness and Robust Causal Inference. Minds Mach. Jiji Zhang, Peter Spirtes
2008	J	`jnl`	Error probabilities for inference of causal directions. Synth. Jiji Zhang
2008	J	`jnl`	On the completeness of orientation rules for causal discovery in the presence of latent confounders and selection bias. Artif. Intell. Jiji Zhang
2007	A	`conf`	A Characterization of Markov Equivalence Classes for Directed Acyclic Graphs with Latent Variables. UAI Jiji Zhang
2007	A	`conf`	Generalized Do-Calculus with Testable Causal Assumptions. AISTATS Jiji Zhang
2006	A	`conf`	Adjacency-Faithfulness and Conservative Causal Inference. UAI Joseph D. Ramsey, Jiji Zhang, Peter Spirtes
2005	A	`conf`	A Transformational Characterization of Markov Equivalence for Directed Acyclic Graphs with Latent Variables. UAI Jiji Zhang, Peter Spirtes
2005	A*	`conf`	Probabilistic workflow mining. KDD Ricardo Bezerra de Andrade e Silva, Jiji Zhang, James G. Shanahan
2005	A	`conf`	Towards Characterizing Markov Equivalence Classes for Directed Acyclic Graphs with Latent Variables. UAI Ayesha R. Ali, Thomas S. Richardson, Peter Spirtes, Jiji Zhang
2003	A	`conf`	Strong Faithfulness and Uniform Consistency in Causal Inference. UAI Jiji Zhang, Peter Spirtes