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Causal Inference Through the Structural Causal Marginal Problem

Causal Inference Through the Structural Causal Marginal Problem

2 February 2022
Luigi Gresele
Julius von Kügelgen
Jonas M. Kubler
Elke Kirschbaum
Bernhard Schölkopf
Dominik Janzing
ArXivPDFHTML

Papers citing "Causal Inference Through the Structural Causal Marginal Problem"

15 / 15 papers shown
Title
Counterfactual Causal Inference in Natural Language with Large Language
  Models
Counterfactual Causal Inference in Natural Language with Large Language Models
Gael Gendron
Jože M. Rožanec
Michael Witbrock
Gillian Dobbie
CML
32
0
0
08 Oct 2024
Estimating Joint interventional distributions from marginal
  interventional data
Estimating Joint interventional distributions from marginal interventional data
Sergio Hernan Garrido Mejia
Elke Kirschbaum
Armin Kekić
Atalanti Mastakouri
CML
21
1
0
03 Sep 2024
Multi-View Causal Representation Learning with Partial Observability
Multi-View Causal Representation Learning with Partial Observability
Dingling Yao
Danru Xu
Sébastien Lachapelle
Sara Magliacane
Perouz Taslakian
Georg Martius
Julius von Kügelgen
Francesco Locatello
CML
37
30
0
07 Nov 2023
Tightening Bounds on Probabilities of Causation By Merging Datasets
Tightening Bounds on Probabilities of Causation By Merging Datasets
Numair Sani
Atalanti A. Mastakouri
19
1
0
12 Oct 2023
Self-Compatibility: Evaluating Causal Discovery without Ground Truth
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
14
14
0
18 Jul 2023
Results on Counterfactual Invariance
Results on Counterfactual Invariance
Jake Fawkes
R. Evans
13
4
0
17 Jul 2023
Variational Counterfactual Prediction under Runtime Domain Corruption
Variational Counterfactual Prediction under Runtime Domain Corruption
Hechuan Wen
Tong Chen
L. K. Chai
S. Sadiq
Junbin Gao
Hongzhi Yin
OOD
15
2
0
23 Jun 2023
Partial Counterfactual Identification of Continuous Outcomes with a
  Curvature Sensitivity Model
Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model
Valentyn Melnychuk
Dennis Frauen
Stefan Feuerriegel
13
11
0
02 Jun 2023
Reinterpreting causal discovery as the task of predicting unobserved
  joint statistics
Reinterpreting causal discovery as the task of predicting unobserved joint statistics
Dominik Janzing
P. M. Faller
L. C. Vankadara
CML
6
3
0
11 May 2023
Out-of-Variable Generalization for Discriminative Models
Out-of-Variable Generalization for Discriminative Models
Siyuan Guo
J. Wildberger
Bernhard Schölkopf
OOD
CML
22
2
0
16 Apr 2023
Bounding probabilities of causation through the causal marginal problem
Bounding probabilities of causation through the causal marginal problem
Numair Sani
Atalanti A. Mastakouri
Dominik Janzing
CML
13
3
0
04 Apr 2023
Counterfactual Identifiability of Bijective Causal Models
Counterfactual Identifiability of Bijective Causal Models
Arash Nasr-Esfahany
MohammadIman Alizadeh
Devavrat Shah
CML
BDL
27
26
0
04 Feb 2023
A Survey of Methods, Challenges and Perspectives in Causality
A Survey of Methods, Challenges and Perspectives in Causality
Gael Gendron
Michael Witbrock
Gillian Dobbie
OOD
AI4CE
CML
19
12
0
01 Feb 2023
Phenomenological Causality
Phenomenological Causality
Dominik Janzing
Sergio Hernan Garrido Mejia
CML
LRM
23
3
0
15 Nov 2022
Obtaining Causal Information by Merging Datasets with MAXENT
Obtaining Causal Information by Merging Datasets with MAXENT
Sergio Hernan Garrido Mejia
Elke Kirschbaum
Dominik Janzing
CML
18
9
0
15 Jul 2021
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