Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1807.03024
Cited By
Constraint-based Causal Discovery for Non-Linear Structural Causal Models with Cycles and Latent Confounders
9 July 2018
Patrick Forré
Joris M. Mooij
CML
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Constraint-based Causal Discovery for Non-Linear Structural Causal Models with Cycles and Latent Confounders"
29 / 29 papers shown
Title
Identifying Macro Causal Effects in C-DMGs
Simon Ferreira
Charles K. Assaad
CML
546
0
0
02 Apr 2025
An Asymmetric Independence Model for Causal Discovery on Path Spaces
Georg Manten
Cecilia Casolo
Søren Wengel Mogensen
Niki Kilbertus
138
0
0
12 Mar 2025
Identifying macro conditional independencies and macro total effects in summary causal graphs with latent confounding
Simon Ferreira
Charles K. Assaad
CML
70
5
0
10 Jul 2024
Algorithmic Identification of Essential Exogenous Nodes for Causal Sufficiency in Brain Networks
Abdolmahdi Bagheri
Mahdi Dehshiri
Babak N. Araabi
Alireza Akhondi-Asl
CML
103
1
0
08 Mar 2024
Comparative Study of Causal Discovery Methods for Cyclic Models with Hidden Confounders
B. Lorbeer
Mustafa Mohsen
48
1
0
23 Jan 2024
Modeling Latent Selection with Structural Causal Models
Leihao Chen
O. Zoeter
Joris M. Mooij
AI4CE
CML
29
4
0
12 Jan 2024
Establishing Markov Equivalence in Cyclic Directed Graphs
Tom Claassen
Joris M. Mooij
50
2
0
01 Sep 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
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
A Survey on Causal Discovery: Theory and Practice
Alessio Zanga
Fabio Stella
CML
77
45
0
17 May 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
Discovering Agents
Zachary Kenton
Ramana Kumar
Sebastian Farquhar
Jonathan G. Richens
Matt MacDermott
Tom Everitt
CML
116
31
0
17 Aug 2022
Language-Based Causal Representation Learning
Blai Bonet
Hector Geffner
79
0
0
12 Jul 2022
Causal Structure Learning: a Combinatorial Perspective
C. Squires
Caroline Uhler
CML
120
47
0
02 Jun 2022
A Unified Experiment Design Approach for Cyclic and Acyclic Causal Models
Ehsan Mokhtarian
Saber Salehkaleybar
AmirEmad Ghassami
Negar Kiyavash
89
3
0
20 May 2022
Simulations in Recommender Systems: An industry perspective
Lucas Bernardi
S. Batra
C. Bruscantini
39
8
0
14 Sep 2021
Obtaining Causal Information by Merging Datasets with MAXENT
Sergio Hernan Garrido Mejia
Elke Kirschbaum
Dominik Janzing
CML
123
10
0
15 Jul 2021
D'ya like DAGs? A Survey on Structure Learning and Causal Discovery
M. Vowels
Necati Cihan Camgöz
Richard Bowden
CML
147
305
0
03 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
61
2
0
08 Dec 2020
Structure Learning for Cyclic Linear Causal Models
Carlos Améndola
Philipp Dettling
Mathias Drton
Federica Onori
Jun Wu
CML
66
16
0
10 Jun 2020
Constraint-Based Causal Discovery using Partial Ancestral Graphs in the presence of Cycles
Joris M. Mooij
Tom Claassen
88
42
0
01 May 2020
Info Intervention
Heyang Gong
Zhu Ke
CML
23
0
0
24 Jul 2019
Causal Discovery with a Mixture of DAGs
Eric V. Strobl
CML
70
17
0
28 Jan 2019
Causal Calculus in the Presence of Cycles, Latent Confounders and Selection Bias
Patrick Forré
Joris M. Mooij
CML
86
32
0
02 Jan 2019
A Constraint-Based Algorithm For Causal Discovery with Cycles, Latent Variables and Selection Bias
Eric V. Strobl
CML
75
30
0
05 May 2018
Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions
Sara Magliacane
T. V. Ommen
Tom Claassen
Stephan Bongers
Philip Versteeg
Joris M. Mooij
OOD
CML
147
237
0
20 Jul 2017
Foundations of Structural Causal Models with Cycles and Latent Variables
Stephan Bongers
Patrick Forré
J. Peters
Joris M. Mooij
93
167
0
18 Nov 2016
1