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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
A Measure-Theoretic Axiomatisation of Causality Junhyung Park Simon Buchholz Bernhard Schölkopf Krikamol Muandet 82 5 0 19 May 2023
A Survey on Causal Discovery: Theory and Practice Alessio Zanga Fabio Stella CML 77 45 0 17 May 2023
Axiomatization of Interventional Probability Distributions Kayvan Sadeghi Terry Soo 60 4 0 08 May 2023
Efficient SAGE Estimation via Causal Structure Learning C. Luther Gunnar Konig Moritz Grosse-Wentrup 117 3 0 06 Apr 2023
Optimal transport and Wasserstein distances for causal models Patrick Cheridito Stephan Eckstein OT 93 7 0 24 Mar 2023
Competence-Based Analysis of Language Models Adam Davies Jize Jiang Chengxiang Zhai ELM 58 5 0 01 Mar 2023
Markov Conditions and Factorization in Logical Credal Networks Fabio Gagliardi Cozman 36 0 0 27 Feb 2023
A Survey of Methods, Challenges and Perspectives in Causality Gaël Gendron Michael Witbrock Gillian Dobbie OOD AI4CE CML 82 13 0 01 Feb 2023
On How AI Needs to Change to Advance the Science of Drug Discovery Kieran Didi Matej Zečević CML 62 1 0 23 Dec 2022
Causal Abstraction with Soft Interventions Riccardo Massidda Atticus Geiger Thomas Icard D. Bacciu 61 14 0 22 Nov 2022
Bias of the additive hazard model in the presence of causal effect heterogeneity Richard Post Edwin R. van den Heuvel Hein Putter 21 2 0 29 Oct 2022
The built-in selection bias of hazard ratios formalized Richard Post Edwin R. van den Heuvel Hein Putter 21 4 0 29 Oct 2022
Improvement-Focused Causal Recourse (ICR) Gunnar Konig Timo Freiesleben Moritz Grosse-Wentrup CML 76 16 0 27 Oct 2022
A Review and Roadmap of Deep Learning Causal Discovery in Different Variable Paradigms Hang Chen Keqing Du Xinyu Yang Chenguang Li CML 79 12 0 14 Sep 2022
On the Lasso for Graphical Continuous Lyapunov Models Philipp Dettling Mathias Drton Mladen Kolar 42 6 0 29 Aug 2022
Learning Relational Causal Models with Cycles through Relational Acyclification Ragib Ahsan David Arbour Elena Zheleva 89 2 0 25 Aug 2022
Latent Variable Models in the Era of Industrial Big Data: Extension and Beyond Xiangyi Kong Xiaoyu Jiang Bingxin Zhang Jinsong Yuan Zhiqiang Ge 55 71 0 23 Aug 2022
Discovering Agents Zachary Kenton Ramana Kumar Sebastian Farquhar Jonathan G. Richens Matt MacDermott Tom Everitt CML 116 31 0 17 Aug 2022
Impossibility of superluminal signalling in Minkowski space-time does not rule out causal loops V. Vilasini R. Colbeck LRM AI4CE 28 7 0 26 Jun 2022
What-is and How-to for Fairness in Machine Learning: A Survey, Reflection, and Perspective Zeyu Tang Jiji Zhang Kun Zhang FaML 94 29 0 08 Jun 2022
Causal Structure Learning: a Combinatorial Perspective C. Squires Caroline Uhler CML 120 47 0 02 Jun 2022
Evaluating Robustness to Dataset Shift via Parametric Robustness Sets Nikolaj Thams Michael Oberst David Sontag OOD 108 12 0 31 May 2022
Causal Machine Learning for Healthcare and Precision Medicine Pedro Sanchez J. Voisey Tian Xia Hannah I. Watson Alison Q. OÑeil Sotirios A. Tsaftaris OOD CML 98 125 0 23 May 2022
A Unified Experiment Design Approach for Cyclic and Acyclic Causal Models Ehsan Mokhtarian Saber Salehkaleybar AmirEmad Ghassami Negar Kiyavash 85 3 0 20 May 2022
From Statistical to Causal Learning Bernhard Schölkopf Julius von Kügelgen CML 100 46 0 01 Apr 2022
Weakly supervised causal representation learning Johann Brehmer P. D. Haan Phillip Lippe Taco S. Cohen OOD CML 99 131 0 30 Mar 2022
Finding Structure and Causality in Linear Programs Matej Zečević Florian Peter Busch Devendra Singh Dhami Kristian Kersting CML 25 0 0 29 Mar 2022
Identifiability of Sparse Causal Effects using Instrumental Variables Niklas Pfister J. Peters CML 56 10 0 17 Mar 2022
Identifying Causal Effects using Instrumental Time Series: Nuisance IV and Correcting for the Past Nikolaj Thams Rikke Sondergaard S. Weichwald J. Peters AI4TS CML 69 13 0 11 Mar 2022
Local Constraint-Based Causal Discovery under Selection Bias Philip Versteeg Cheng Zhang Joris M. Mooij CML 50 14 0 03 Mar 2022
Exploiting Independent Instruments: Identification and Distribution Generalization Sorawit Saengkyongam Leonard Henckel Niklas Pfister J. Peters 88 18 0 03 Feb 2022
Causal Inference Through the Structural Causal Marginal Problem Luigi Gresele Julius von Kügelgen Jonas M. Kubler Elke Kirschbaum Bernhard Schölkopf Dominik Janzing 100 20 0 02 Feb 2022
Invariant Ancestry Search Phillip B. Mogensen Nikolaj Thams J. Peters 96 5 0 02 Feb 2022
Learning soft interventions in complex equilibrium systems M. Besserve Bernhard Schölkopf 63 3 0 10 Dec 2021
Individual causal effects from observational longitudinal studies with time-varying exposures Richard Post Z. Zhan Edwin R. van den Heuvel CML 34 0 0 06 Sep 2021
Transport-based Counterfactual Models Lucas de Lara Alberto González Sanz Nicholas M. Asher Laurent Risser Jean-Michel Loubes 52 31 0 30 Aug 2021
A Topological Perspective on Causal Inference D. Ibeling Thomas Icard AI4CE 16 9 0 18 Jul 2021
Causal Abstractions of Neural Networks Atticus Geiger Hanson Lu Thomas Icard Christopher Potts NAI CML 80 246 0 06 Jun 2021
Invariant Policy Learning: A Causal Perspective Sorawit Saengkyongam Nikolaj Thams J. Peters Niklas Pfister CML OffRL 85 15 0 01 Jun 2021
Statistical Testing under Distributional Shifts Nikolaj Thams Sorawit Saengkyongam Niklas Pfister J. Peters OOD 124 10 0 22 May 2021
Compositional Abstraction Error and a Category of Causal Models E. F. Rischel S. Weichwald 93 27 0 29 Mar 2021
Conditions and Assumptions for Constraint-based Causal Structure Learning Kayvan Sadeghi Terry Soo CML 75 6 0 24 Mar 2021
Combining Interventional and Observational Data Using Causal Reductions Maximilian Ilse Patrick Forré Max Welling Joris M. Mooij OOD CML 57 0 0 08 Mar 2021
Fairness seen as Global Sensitivity Analysis Clément Bénesse Fabrice Gamboa Jean-Michel Loubes Thibaut Boissin 55 16 0 08 Mar 2021
Causality and independence in perfectly adapted dynamical systems Tineke Blom Joris M. Mooij CML 102 8 0 28 Jan 2021
Robustness of Model Predictions under Extension Tineke Blom Joris M. Mooij 58 2 0 08 Dec 2020
Causal Feature Selection via Orthogonal Search Ashkan Soleymani Anant Raj Stefan Bauer Bernhard Schölkopf M. Besserve CML 79 17 0 06 Jul 2020
Constraint-Based Causal Discovery using Partial Ancestral Graphs in the presence of Cycles Joris M. Mooij Tom Claassen 74 42 0 01 May 2020
Boosting Local Causal Discovery in High-Dimensional Expression Data Philip Versteeg Joris M. Mooij CML 35 5 0 06 Oct 2019
Neural Network Attributions: A Causal Perspective Aditya Chattopadhyay Piyushi Manupriya Anirban Sarkar V. Balasubramanian CML 91 146 0 06 Feb 2019