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Learning Functional Causal Models with Generative Neural Networks
v1v2v3 (latest)

Learning Functional Causal Models with Generative Neural Networks

15 September 2017
Hugo Jair Escalante
Sergio Escalera
Xavier Baro
Isabelle M Guyon
Umut Güçlü
Marcel van Gerven
    CMLBDL
ArXiv (abs)PDFHTML

Papers citing "Learning Functional Causal Models with Generative Neural Networks"

6 / 106 papers shown
Title
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
109
632
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
225
301
0
02 Feb 2012
Finding Density Functionals with Machine Learning
Finding Density Functionals with Machine Learning
John C. Snyder
M. Rupp
K. Hansen
K. Müller
K. Burke
126
477
0
22 Dec 2011
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
132
467
0
29 Apr 2011
Natural Language Processing (almost) from Scratch
Natural Language Processing (almost) from Scratch
R. Collobert
Jason Weston
Léon Bottou
Michael Karlen
Koray Kavukcuoglu
Pavel P. Kuksa
203
7,729
0
02 Mar 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
241
2,365
0
15 May 2008
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