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Characterization and Greedy Learning of Gaussian Structural Causal Models under Unknown Interventions

Characterization and Greedy Learning of Gaussian Structural Causal Models under Unknown Interventions

13 March 2025
Juan L. Gamella
Armeen Taeb
C. Heinze-Deml
Peter Buhlmann
    CML
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Papers citing "Characterization and Greedy Learning of Gaussian Structural Causal Models under Unknown Interventions"

11 / 11 papers shown
Title
Addressing pitfalls in implicit unobserved confounding synthesis using explicit block hierarchical ancestral sampling
Addressing pitfalls in implicit unobserved confounding synthesis using explicit block hierarchical ancestral sampling
Xudong Sun
Alex Markham
Pratik Misra
Carsten Marr
CML
58
0
0
12 Mar 2025
Generative Intervention Models for Causal Perturbation Modeling
Generative Intervention Models for Causal Perturbation Modeling
Nora Schneider
Lars Lorch
Niki Kilbertus
Bernhard Schölkopf
Andreas Krause
73
2
0
21 Nov 2024
Interventional Causal Structure Discovery over Graphical Models with
  Convergence and Optimality Guarantees
Interventional Causal Structure Discovery over Graphical Models with Convergence and Optimality Guarantees
Qiu Chengbo
Yang Kai
CML
19
0
0
09 Aug 2024
Bayesian causal discovery from unknown general interventions
Bayesian causal discovery from unknown general interventions
Alessandro Mascaro
F. Castelletti
8
1
0
01 Dec 2023
$\texttt{causalAssembly}$: Generating Realistic Production Data for
  Benchmarking Causal Discovery
causalAssembly\texttt{causalAssembly}causalAssembly: Generating Realistic Production Data for Benchmarking Causal Discovery
Konstantin Göbler
Tobias Windisch
Mathias Drton
T. Pychynski
Steffen Sonntag
Martin Roth
CML
35
9
0
19 Jun 2023
Learning Linear Causal Representations from Interventions under General
  Nonlinear Mixing
Learning Linear Causal Representations from Interventions under General Nonlinear Mixing
Simon Buchholz
Goutham Rajendran
Elan Rosenfeld
Bryon Aragam
Bernhard Schölkopf
Pradeep Ravikumar
CML
19
57
0
04 Jun 2023
Learning and scoring Gaussian latent variable causal models with unknown
  additive interventions
Learning and scoring Gaussian latent variable causal models with unknown additive interventions
Armeen Taeb
Juan L. Gamella
C. Heinze-Deml
Peter Buhlmann
CML
15
3
0
18 Jan 2021
Learning Sparse Nonparametric DAGs
Learning Sparse Nonparametric DAGs
Xun Zheng
Chen Dan
Bryon Aragam
Pradeep Ravikumar
Eric P. Xing
CML
101
254
0
29 Sep 2019
Causal Inference in the Presence of Latent Variables and Selection Bias
Causal Inference in the Presence of Latent Variables and Selection Bias
Peter Spirtes
Christopher Meek
Thomas S. Richardson
CML
133
434
0
20 Feb 2013
Causal Inference and Causal Explanation with Background Knowledge
Causal Inference and Causal Explanation with Background Knowledge
Christopher Meek
CML
208
628
0
20 Feb 2013
A Transformational Characterization of Equivalent Bayesian Network
  Structures
A Transformational Characterization of Equivalent Bayesian Network Structures
D. M. Chickering
135
417
0
20 Feb 2013
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