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Kernel-based Conditional Independence Test and Application in Causal
  Discovery

Kernel-based Conditional Independence Test and Application in Causal Discovery

14 February 2012
Kun Zhang
J. Peters
Dominik Janzing
Bernhard Schölkopf
    BDL
    CML
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Papers citing "Kernel-based Conditional Independence Test and Application in Causal Discovery"

13 / 13 papers shown
Title
Characterization and Greedy Learning of Gaussian Structural Causal Models under Unknown Interventions
Characterization and Greedy Learning of Gaussian Structural Causal Models under Unknown Interventions
Juan L. Gamella
Armeen Taeb
C. Heinze-Deml
Peter Buhlmann
CML
134
8
0
13 Mar 2025
Your Assumed DAG is Wrong and Here's How To Deal With It
Kirtan Padh
Zhufeng Li
Cecilia Casolo
Niki Kilbertus
CML
84
0
0
24 Feb 2025
Falsification of Unconfoundedness by Testing Independence of Causal Mechanisms
Falsification of Unconfoundedness by Testing Independence of Causal Mechanisms
R. Karlsson
Jesse H. Krijthe
CML
114
1
0
10 Feb 2025
Causal Discovery via Bayesian Optimization
Bao Duong
Sunil Gupta
Thin Nguyen
140
0
0
28 Jan 2025
SpaceTime: Causal Discovery from Non-Stationary Time Series
SpaceTime: Causal Discovery from Non-Stationary Time Series
Sarah Mameche
Lénaïg Cornanguer
Urmi Ninad
Jilles Vreeken
CML
AI4TS
77
0
0
20 Jan 2025
Conditional Dependence via U-Statistics Pruning
Conditional Dependence via U-Statistics Pruning
Ferran de Cabrera
Marc Vilà-Insa
Jaume Riba
61
0
0
21 Oct 2024
A Skewness-Based Criterion for Addressing Heteroscedastic Noise in Causal Discovery
A Skewness-Based Criterion for Addressing Heteroscedastic Noise in Causal Discovery
Yingyu Lin
Yuxing Huang
Wenqin Liu
Haoran Deng
Ignavier Ng
Kun Zhang
Biwei Huang
Yi-An Ma
Zhen Zhang
78
1
0
08 Oct 2024
Signature Kernel Conditional Independence Tests in Causal Discovery for Stochastic Processes
Signature Kernel Conditional Independence Tests in Causal Discovery for Stochastic Processes
Georg Manten
Cecilia Casolo
E. Ferrucci
Søren Wengel Mogensen
C. Salvi
Niki Kilbertus
CML
BDL
201
12
0
28 Feb 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
89
7
0
02 Feb 2024
Generalized Optimal Matching Methods for Causal Inference
Generalized Optimal Matching Methods for Causal Inference
Nathan Kallus
158
108
0
26 Dec 2016
On the Identifiability of the Post-Nonlinear Causal Model
On the Identifiability of the Post-Nonlinear Causal Model
Kun Zhang
Aapo Hyvarinen
CML
194
564
0
09 May 2012
Testing conditional independence using maximal nonlinear conditional
  correlation
Testing conditional independence using maximal nonlinear conditional correlation
Tzee-Ming Huang
90
79
0
19 Oct 2010
Testing conditional independence via Rosenblatt transforms
Testing conditional independence via Rosenblatt transforms
Kyungchul Song
121
88
0
19 Nov 2009
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