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Causal Generative Neural Networks
v1v2 (latest)

Causal Generative Neural Networks

24 November 2017
Olivier Goudet
Diviyan Kalainathan
Philippe Caillou
Isabelle M Guyon
David Lopez-Paz
Michèle Sebag
    BDLCMLDRL
ArXiv (abs)PDFHTML

Papers citing "Causal Generative Neural Networks"

13 / 13 papers shown
Title
Structure Learning in Graphical Modeling
Structure Learning in Graphical Modeling
Mathias Drton
Marloes H. Maathuis
CML
88
250
0
07 Jun 2016
Conditional distribution variability measures for causality detection
Conditional distribution variability measures for causality detection
José A. R. Fonollosa
CML
33
44
0
25 Jan 2016
High-dimensional consistency in score-based and hybrid structure
  learning
High-dimensional consistency in score-based and hybrid structure learning
Preetam Nandy
Alain Hauser
Marloes H. Maathuis
75
130
0
09 Jul 2015
Generative Moment Matching Networks
Generative Moment Matching Networks
Yujia Li
Kevin Swersky
R. Zemel
OODGAN
116
847
0
10 Feb 2015
Causal Discovery with Continuous Additive Noise Models
Causal Discovery with Continuous Additive Noise Models
Jonas Peters
Joris Mooij
Dominik Janzing
Bernhard Schölkopf
CML
106
573
0
26 Sep 2013
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
201
445
0
20 Feb 2013
Order-independent constraint-based causal structure learning
Order-independent constraint-based causal structure learning
Diego Colombo
Marloes H. Maathuis
CML
124
606
0
14 Nov 2012
On the Identifiability of the Post-Nonlinear Causal Model
On the Identifiability of the Post-Nonlinear Causal Model
Kun Zhang
Aapo Hyvarinen
CML
204
564
0
09 May 2012
Inferring deterministic causal relations
Inferring deterministic causal relations
P. Daniušis
Dominik Janzing
Joris Mooij
Jakob Zscheischler
Bastian Steudel
Kun Zhang
Bernhard Schölkopf
CML
117
192
0
15 Mar 2012
Kernel-based Conditional Independence Test and Application in Causal
  Discovery
Kernel-based Conditional Independence Test and Application in Causal Discovery
Kun Zhang
J. Peters
Dominik Janzing
Bernhard Schölkopf
BDLCML
107
631
0
14 Feb 2012
High-Dimensional Feature Selection by Feature-Wise Kernelized Lasso
High-Dimensional Feature Selection by Feature-Wise Kernelized Lasso
M. Yamada
Wittawat Jitkrittum
Leonid Sigal
Eric Xing
Masashi Sugiyama
205
301
0
02 Feb 2012
Learning high-dimensional directed acyclic graphs with latent and
  selection variables
Learning high-dimensional directed acyclic graphs with latent and selection variables
Diego Colombo
Marloes H. Maathuis
M. Kalisch
Thomas S. Richardson
CML
126
466
0
29 Apr 2011
A Kernel Method for the Two-Sample Problem
A Kernel Method for the Two-Sample Problem
Arthur Gretton
Karsten Borgwardt
Malte J. Rasch
Bernhard Schölkopf
Alex Smola
233
2,365
0
15 May 2008
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