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Foundations of Structural Causal Models with Cycles and Latent Variables

18 November 2016

Joris M. Mooij

Papers citing "Foundations of Structural Causal Models with Cycles and Latent Variables"

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Title
Ego-centric Learning of Communicative World Models for Autonomous Driving Hang Wang D. Gao Junshan Zhang 13 0 0 09 Jun 2025
LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Xingyu Wu Kui Yu Jibin Wu Kay Chen Tan CML 35 0 0 01 Jun 2025
PO-Flow: Flow-based Generative Models for Sampling Potential Outcomes and Counterfactuals Dongze Wu David I. Inouye Yao Xie 42 0 0 21 May 2025
AI Alignment in Medical Imaging: Unveiling Hidden Biases Through Counterfactual Analysis Haroui Ma Francesco Quinzan Theresa Willem Stefan Bauer 129 0 0 28 Apr 2025
Combining Causal Models for More Accurate Abstractions of Neural Networks Theodora-Mara Pîslar Sara Magliacane Atticus Geiger AI4CE 87 0 0 14 Mar 2025
Revisiting the Berkeley Admissions data: Statistical Tests for Causal Hypotheses Sourbh Bhadane Joris Mooij Philip A. Boeken O. Zoeter 152 0 0 17 Feb 2025
Robust Causal Analysis of Linear Cyclic Systems With Hidden Confounders Boris Lorbeer Axel Küpper 125 0 0 18 Nov 2024
Causal Responsibility Attribution for Human-AI Collaboration Yahang Qi Bernhard Schölkopf Zhijing Jin 52 2 0 05 Nov 2024
Causal Modeling in Multi-Context Systems: Distinguishing Multiple Context-Specific Causal Graphs which Account for Observational Support Martin Rabel Wiebke Günther Jakob Runge Andreas Gerhardus 31 0 0 27 Oct 2024
Counterfactual Causal Inference in Natural Language with Large Language Models Gaël Gendron Jože M. Rožanec Michael Witbrock Gillian Dobbie CML 73 3 0 08 Oct 2024
Robust Domain Generalisation with Causal Invariant Bayesian Neural Networks Gaël Gendron Michael Witbrock Gillian Dobbie CML BDL OOD 67 0 0 08 Oct 2024
Identifying Elasticities in Autocorrelated Time Series Using Causal Graphs Silvana Tiedemann Jorge Sanchez Canales Felix Schur Raffaele Sgarlato Lion Hirth Oliver Ruhnau Jonas Peters 33 1 0 23 Sep 2024
A matrix algebra for graphical statistical models Qingyuan Zhao 68 1 0 22 Jul 2024
Spatio-Temporal Graphical Counterfactuals: An Overview Mingyu Kang Duxin Chen Ziyuan Pu Jianxi Gao Wenwu Yu CML 103 1 0 02 Jul 2024
Dynamic Structural Causal Models Philip A. Boeken Joris M. Mooij 112 4 0 03 Jun 2024
Learning Causal Abstractions of Linear Structural Causal Models Riccardo Massidda Sara Magliacane Davide Bacciu CML 95 3 0 01 Jun 2024
Products, Abstractions and Inclusions of Causal Spaces Simon Buchholz Junhyung Park Bernhard Schölkopf 62 0 0 01 Jun 2024
Deriving Causal Order from Single-Variable Interventions: Guarantees & Algorithm Mathieu Chevalley Patrick Schwab Arash Mehrjou 141 1 0 28 May 2024
Nondeterministic Causal Models Sander Beckers 104 1 0 22 May 2024
On Probabilistic and Causal Reasoning with Summation Operators D. Ibeling Thomas Icard Milan Mossé LRM 44 2 0 05 May 2024
The Causal Chambers: Real Physical Systems as a Testbed for AI Methodology Juan L. Gamella Jonas Peters Peter Buhlmann 175 10 0 17 Apr 2024
FiP: a Fixed-Point Approach for Causal Generative Modeling M. Scetbon Joel Jennings Agrin Hilmkil Cheng Zhang Chao Ma 116 3 0 10 Apr 2024
Characterizing Signalling: Connections between Causal Inference and Space-time Geometry Maarten Grothus V. Vilasini 26 1 0 01 Mar 2024
Evaluating and Correcting Performative Effects of Decision Support Systems via Causal Domain Shift Philip A. Boeken O. Zoeter Joris M. Mooij 123 1 0 01 Mar 2024
Signature Kernel Conditional Independence Tests in Causal Discovery for Stochastic Processes Georg Manten Cecilia Casolo E. Ferrucci Søren Wengel Mogensen C. Salvi Niki Kilbertus CML BDL 246 12 0 28 Feb 2024
Comparative Study of Causal Discovery Methods for Cyclic Models with Hidden Confounders B. Lorbeer Mustafa Mohsen 37 1 0 23 Jan 2024
Modeling Latent Selection with Structural Causal Models Leihao Chen O. Zoeter Joris M. Mooij AI4CE CML 23 4 0 12 Jan 2024
CLadder: Assessing Causal Reasoning in Language Models Zhijing Jin Yuen Chen Felix Leeb Luigi Gresele Ojasv Kamal ... Kevin Blin Fernando Gonzalez Adauto Max Kleiman-Weiner Mrinmaya Sachan Bernhard Schölkopf ReLM ELM LRM 112 79 0 07 Dec 2023
Bayesian causal discovery from unknown general interventions Alessandro Mascaro F. Castelletti 97 1 0 01 Dec 2023
Targeted Reduction of Causal Models Armin Kekić Bernhard Schölkopf M. Besserve CML 136 12 0 30 Nov 2023
Causal Modeling with Stationary Diffusions Lars Lorch Andreas Krause Bernhard Schölkopf DiffM 139 13 0 26 Oct 2023
Identifiability of total effects from abstractions of time series causal graphs Charles K. Assaad Emilie Devijver Éric Gaussier Gregor Gössler Anouar Meynaoui CML 52 7 0 23 Oct 2023
Do Not Marginalize Mechanisms, Rather Consolidate! Moritz Willig Matej Zečević Devendra Singh Dhami Kristian Kersting 69 1 0 12 Oct 2023
Boosted Control Functions Nicola Gnecco Jonas Peters Sebastian Engelke Niklas Pfister 64 2 0 09 Oct 2023
Model-based causal feature selection for general response types Lucas Kook Sorawit Saengkyongam A. Lundborg Torsten Hothorn Jonas Peters CML OOD 63 4 0 22 Sep 2023
Loop Polarity Analysis to Avoid Underspecification in Deep Learning JR DONALD MARTIN St. Louis 41 0 0 18 Sep 2023
Establishing Markov Equivalence in Cyclic Directed Graphs Tom Claassen Joris M. Mooij 48 2 0 01 Sep 2023
Causal Parrots: Large Language Models May Talk Causality But Are Not Causal Matej Zečević Moritz Willig Devendra Singh Dhami Kristian Kersting LRM 78 120 0 24 Aug 2023
BayesDAG: Gradient-Based Posterior Inference for Causal Discovery Yashas Annadani Nick Pawlowski Joel Jennings Stefan Bauer Cheng Zhang Wenbo Gong CML BDL 98 19 0 26 Jul 2023
Self-Compatibility: Evaluating Causal Discovery without Ground Truth P. M. Faller L. C. Vankadara Atalanti A. Mastakouri Francesco Locatello Dominik Janzing Karlsruhe Institute of Technology CML 87 16 0 18 Jul 2023
Results on Counterfactual Invariance Jake Fawkes R. Evans 44 4 0 17 Jul 2023
Causal Structure Learning by Using Intersection of Markov Blankets Yiran Dong Chuanhou Gao CML 49 0 0 01 Jul 2023
Foundations of Causal Discovery on Groups of Variables Jonas Wahl Urmi Ninad Jakob Runge CML 69 11 0 12 Jun 2023
DRCFS: Doubly Robust Causal Feature Selection Francesco Quinzan Ashkan Soleymani Patrik Jaillet C. Rojas Stefan Bauer 102 13 0 12 Jun 2023
Intervention Generalization: A View from Factor Graph Models Gecia Bravo Hermsdorff David S. Watson Jialin Yu Jakob Zeitler Ricardo M. A. Silva CML 77 6 0 06 Jun 2023
Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model Valentyn Melnychuk Dennis Frauen Stefan Feuerriegel 120 11 0 02 Jun 2023
Unfair Utilities and First Steps Towards Improving Them Frederik Hytting Jorgensen S. Weichwald J. Peters FaML 93 0 0 01 Jun 2023
Sharp Bounds for Generalized Causal Sensitivity Analysis Dennis Frauen Valentyn Melnychuk Stefan Feuerriegel CML 120 19 0 26 May 2023
Passive learning of active causal strategies in agents and language models Andrew Kyle Lampinen Stephanie C. Y. Chan Ishita Dasgupta A. Nam Jane X. Wang 91 18 0 25 May 2023
Discovering Causal Relations and Equations from Data Gustau Camps-Valls Andreas Gerhardus Urmi Ninad Gherardo Varando Georg Martius E. Balaguer-Ballester Ricardo Vinuesa Emiliano Díaz L. Zanna Jakob Runge PINN AI4Cl AI4CE CML 108 77 0 21 May 2023