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Detecting confounding in multivariate linear models via spectral
  analysis

Detecting confounding in multivariate linear models via spectral analysis

5 April 2017
Dominik Janzing
B. Schoelkopf
ArXiv (abs)PDFHTML

Papers citing "Detecting confounding in multivariate linear models via spectral analysis"

14 / 14 papers shown
Title
Falsification of Unconfoundedness by Testing Independence of Causal Mechanisms
Falsification of Unconfoundedness by Testing Independence of Causal Mechanisms
R. Karlsson
Jesse H. Krijthe
CML
155
1
0
10 Feb 2025
Detecting hidden confounding in observational data using multiple
  environments
Detecting hidden confounding in observational data using multiple environments
R. Karlsson
Jesse H. Krijthe
CMLOOD
91
13
0
27 May 2022
Interpolation and Regularization for Causal Learning
Interpolation and Regularization for Causal Learning
L. C. Vankadara
Luca Rendsburg
U. V. Luxburg
Debarghya Ghoshdastidar
CML
50
1
0
18 Feb 2022
An overview of the quantitative causality analysis and causal graph
  reconstruction based on a rigorous formalism of information flow
An overview of the quantitative causality analysis and causal graph reconstruction based on a rigorous formalism of information flow
X. Liang
CMLAI4CE
8
0
0
31 Dec 2021
Independent mechanism analysis, a new concept?
Independent mechanism analysis, a new concept?
Luigi Gresele
Julius von Kügelgen
Vincent Stimper
Bernhard Schölkopf
M. Besserve
CML
109
102
0
09 Jun 2021
Deconfounded Score Method: Scoring DAGs with Dense Unobserved
  Confounding
Deconfounded Score Method: Scoring DAGs with Dense Unobserved Confounding
Alexis Bellot
M. Schaar
CML
75
11
0
28 Mar 2021
Integrating overlapping datasets using bivariate causal discovery
Integrating overlapping datasets using bivariate causal discovery
Anish Dhir
Ciarán M. Gilligan-Lee
CML
54
20
0
24 Oct 2019
Leveraging directed causal discovery to detect latent common causes
Leveraging directed causal discovery to detect latent common causes
Ciarán M. Gilligan-Lee
Chris Hart
Jonathan G. Richens
Saurabh Johri
CML
90
16
0
22 Oct 2019
Causal Regularization
Causal Regularization
M. T. Bahadori
OODCML
89
51
0
28 Jun 2019
We Are Not Your Real Parents: Telling Causal from Confounded using MDL
We Are Not Your Real Parents: Telling Causal from Confounded using MDL
David Kaltenpoth
Jilles Vreeken
CML
106
22
0
21 Jan 2019
The Blessings of Multiple Causes
The Blessings of Multiple Causes
Yixin Wang
David M. Blei
AI4CECML
70
291
0
17 May 2018
Confounder Detection in High Dimensional Linear Models using First
  Moments of Spectral Measures
Confounder Detection in High Dimensional Linear Models using First Moments of Spectral Measures
Furui Liu
L. Chan
42
4
0
19 Mar 2018
Structural Agnostic Modeling: Adversarial Learning of Causal Graphs
Structural Agnostic Modeling: Adversarial Learning of Causal Graphs
Diviyan Kalainathan
Olivier Goudet
Isabelle M Guyon
David Lopez-Paz
Michèle Sebag
CML
80
96
0
13 Mar 2018
Detecting non-causal artifacts in multivariate linear regression models
Detecting non-causal artifacts in multivariate linear regression models
Dominik Janzing
Bernhard Schölkopf
CML
66
34
0
02 Mar 2018
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