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Self-Compatibility: Evaluating Causal Discovery without Ground Truth

Self-Compatibility: Evaluating Causal Discovery without Ground Truth

18 July 2023
P. M. Faller
L. C. Vankadara
Atalanti A. Mastakouri
Francesco Locatello
Dominik Janzing Karlsruhe Institute of Technology
    CML
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Papers citing "Self-Compatibility: Evaluating Causal Discovery without Ground Truth"

7 / 7 papers shown
Title
Causal Discovery over High-Dimensional Structured Hypothesis Spaces with Causal Graph Partitioning
Causal Discovery over High-Dimensional Structured Hypothesis Spaces with Causal Graph Partitioning
Ashka Shah
Adela DePavia
Nathaniel Hudson
Ian T. Foster
Rick L. Stevens
CML
26
1
0
10 Jun 2024
Sample, estimate, aggregate: A recipe for causal discovery foundation models
Sample, estimate, aggregate: A recipe for causal discovery foundation models
Menghua Wu
Yujia Bao
Regina Barzilay
Tommi Jaakkola
CML
41
7
0
02 Feb 2024
Toward Falsifying Causal Graphs Using a Permutation-Based Test
Toward Falsifying Causal Graphs Using a Permutation-Based Test
Elias Eulig
Atalanti A. Mastakouri
Patrick Blobaum
Michael W. Hardt
Dominik Janzing
13
8
0
16 May 2023
Causal Inference Through the Structural Causal Marginal Problem
Causal Inference Through the Structural Causal Marginal Problem
Luigi Gresele
Julius von Kügelgen
Jonas M. Kubler
Elke Kirschbaum
Bernhard Schölkopf
Dominik Janzing
17
19
0
02 Feb 2022
Learning Sparse Nonparametric DAGs
Learning Sparse Nonparametric DAGs
Xun Zheng
Chen Dan
Bryon Aragam
Pradeep Ravikumar
Eric P. Xing
CML
106
258
0
29 Sep 2019
Estimating and Controlling the False Discovery Rate for the PC Algorithm
  Using Edge-Specific P-Values
Estimating and Controlling the False Discovery Rate for the PC Algorithm Using Edge-Specific P-Values
Eric V. Strobl
Peter Spirtes
Shyam Visweswaran
26
18
0
14 Jul 2016
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
147
434
0
20 Feb 2013
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