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Graphs for margins of Bayesian networks

8 August 2014

Papers citing "Graphs for margins of Bayesian networks"

27 / 27 papers shown

Title
Revisiting the Berkeley Admissions data: Statistical Tests for Causal Hypotheses Sourbh Bhadane Joris Mooij Philip A. Boeken O. Zoeter 155 0 0 17 Feb 2025
Deriving Causal Order from Single-Variable Interventions: Guarantees & Algorithm Mathieu Chevalley Patrick Schwab Arash Mehrjou 141 1 0 28 May 2024
Learning a Structural Causal Model for Intuition Reasoning in Conversation Hang Chen Bingyu Liao Jing Luo Wenjing Zhu Xinyu Yang LRM 119 13 0 28 May 2023
Causal Reasoning in the Presence of Latent Confounders via Neural ADMG Learning Matthew Ashman Chao Ma Agrin Hilmkil Joel Jennings Cheng Zhang CML AI4CE 93 10 0 22 Mar 2023
Causal Discovery in Linear Latent Variable Models Subject to Measurement Error Yuqin Yang AmirEmad Ghassami M. Nafea Negar Kiyavash Kun Zhang I. Shpitser CML 45 8 0 08 Nov 2022
Discovering Agents Zachary Kenton Ramana Kumar Sebastian Farquhar Jonathan G. Richens Matt MacDermott Tom Everitt CML 119 31 0 17 Aug 2022
Identifiability of deep generative models without auxiliary information Bohdan Kivva Goutham Rajendran Pradeep Ravikumar Bryon Aragam DRL 113 53 0 20 Jun 2022
Causal Structure Learning: a Combinatorial Perspective C. Squires Caroline Uhler CML 120 47 0 02 Jun 2022
Variable elimination, graph reduction and efficient g-formula F. R. Guo Emilija Perković A. Rotnitzky CML 74 7 0 24 Feb 2022
An Automated Approach to Causal Inference in Discrete Settings Guilherme Duarte N. Finkelstein D. Knox Jonathan Mummolo I. Shpitser 96 49 0 28 Sep 2021
Learning latent causal graphs via mixture oracles Bohdan Kivva Goutham Rajendran Pradeep Ravikumar Bryon Aragam CML 82 48 0 29 Jun 2021
Causal Networks and Freedom of Choice in Bell's Theorem Rafael Chaves George Moreno E. Polino D. Poderini I. Agresti ... G. Carvacho Elie Wolfe A. Canabarro Robert W. Spekkens F. Sciarrino 44 20 0 12 May 2021
Partial Identifiability in Discrete Data With Measurement Error N. Finkelstein R. Adams Suchi Saria I. Shpitser 77 11 0 23 Dec 2020
Efficient adjustment sets for population average treatment effect estimation in non-parametric causal graphical models A. Rotnitzky Ezequiel Smucler CML 96 31 0 01 Dec 2019
Causal Discovery with a Mixture of DAGs Eric V. Strobl CML 73 17 0 28 Jan 2019
Causal Calculus in the Presence of Cycles, Latent Confounders and Selection Bias Patrick Forré Joris M. Mooij CML 89 32 0 02 Jan 2019
Towards Characterising Bayesian Network Models under Selection A. Armen R. Evans CML 61 1 0 13 Nov 2018
Constraint-based Causal Discovery for Non-Linear Structural Causal Models with Cycles and Latent Confounders Patrick Forré Joris M. Mooij CML 92 56 0 09 Jul 2018
A Constraint-Based Algorithm For Causal Discovery with Cycles, Latent Variables and Selection Bias Eric V. Strobl CML 84 30 0 05 May 2018
On the Properties of MVR Chain Graphs Mohammad Ali Javidian Marco Valtorta 44 6 0 09 Mar 2018
The Inflation Technique Completely Solves the Causal Compatibility Problem M. Navascués Elie Wolfe 71 35 0 20 Jul 2017
Semidefinite tests for latent causal structures Aditya Kela Kai Von Prillwitz J. Åberg Rafael Chaves David Gross CML 81 19 0 03 Jan 2017
Foundations of Structural Causal Models with Cycles and Latent Variables Stephan Bongers Patrick Forré J. Peters Joris M. Mooij 95 167 0 18 Nov 2016
Which causal structures might support a quantum-classical gap? J. Pienaar CML 41 19 0 24 Jun 2016
Structure Learning in Graphical Modeling Mathias Drton Marloes H. Maathuis CML 112 253 0 07 Jun 2016
Distributional Equivalence and Structure Learning for Bow-free Acyclic Path Diagrams Christopher Nowzohour Marloes H. Maathuis R. Evans Peter Buhlmann 125 22 0 07 Aug 2015
Margins of discrete Bayesian networks R. Evans 106 69 0 09 Jan 2015