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Comparing Causal Frameworks: Potential Outcomes, Structural Models,
  Graphs, and Abstractions

Comparing Causal Frameworks: Potential Outcomes, Structural Models, Graphs, and Abstractions

25 June 2023
D. Ibeling
Thomas F. Icard
    CML
ArXivPDFHTML

Papers citing "Comparing Causal Frameworks: Potential Outcomes, Structural Models, Graphs, and Abstractions"

6 / 6 papers shown
Title
Causal Feature Learning in the Social Sciences
Causal Feature Learning in the Social Sciences
Jingzhou Huang
Jiuyao Lu
Alexander Williams Tolbert
CML
52
0
0
17 Mar 2025
What is causal about causal models and representations?
What is causal about causal models and representations?
Frederik Hytting Jørgensen
Luigi Gresele
S. Weichwald
CML
105
0
0
31 Jan 2025
Causal Estimation of Memorisation Profiles
Causal Estimation of Memorisation Profiles
Pietro Lesci
Clara Meister
Thomas Hofmann
Andreas Vlachos
Tiago Pimentel
43
5
0
06 Jun 2024
Products, Abstractions and Inclusions of Causal Spaces
Products, Abstractions and Inclusions of Causal Spaces
Simon Buchholz
Junhyung Park
Bernhard Schölkopf
32
0
0
01 Jun 2024
On Probabilistic and Causal Reasoning with Summation Operators
On Probabilistic and Causal Reasoning with Summation Operators
D. Ibeling
Thomas F. Icard
Milan Mossé
LRM
18
2
0
05 May 2024
Efficient Computation of Counterfactual Bounds
Efficient Computation of Counterfactual Bounds
Marco Zaffalon
Alessandro Antonucci
Rafael Cabañas
David Huber
Dario Azzimonti
13
2
0
17 Jul 2023
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