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Entropic Causal Inference: Identifiability and Finite Sample Results

Entropic Causal Inference: Identifiability and Finite Sample Results

10 January 2021
Spencer Compton
Murat Kocaoglu
Kristjan Greenewald
Dmitriy A. Katz
    CML
ArXiv (abs)PDFHTML

Papers citing "Entropic Causal Inference: Identifiability and Finite Sample Results"

11 / 11 papers shown
Title
A causal framework for explaining the predictions of black-box
  sequence-to-sequence models
A causal framework for explaining the predictions of black-box sequence-to-sequence models
David Alvarez-Melis
Tommi Jaakkola
CML
353
204
0
06 Jul 2017
Avoiding Discrimination through Causal Reasoning
Avoiding Discrimination through Causal Reasoning
Niki Kilbertus
Mateo Rojas-Carulla
Giambattista Parascandolo
Moritz Hardt
Dominik Janzing
Bernhard Schölkopf
FaMLCML
115
584
0
08 Jun 2017
Interaction Information for Causal Inference: The Case of Directed
  Triangle
Interaction Information for Causal Inference: The Case of Directed Triangle
AmirEmad Ghassami
Negar Kiyavash
43
23
0
30 Jan 2017
Entropic Causality and Greedy Minimum Entropy Coupling
Entropic Causality and Greedy Minimum Entropy Coupling
Murat Kocaoglu
A. Dimakis
S. Vishwanath
B. Hassibi
40
17
0
28 Jan 2017
Entropic Causal Inference
Entropic Causal Inference
Murat Kocaoglu
A. Dimakis
S. Vishwanath
B. Hassibi
CML
46
75
0
12 Nov 2016
Distinguishing cause from effect using observational data: methods and
  benchmarks
Distinguishing cause from effect using observational data: methods and benchmarks
Joris M. Mooij
J. Peters
Dominik Janzing
Jakob Zscheischler
Bernhard Schölkopf
CML
120
138
0
11 Dec 2014
Justifying Information-Geometric Causal Inference
Justifying Information-Geometric Causal Inference
Dominik Janzing
Bastian Steudel
Naji Shajarisales
Bernhard Schölkopf
CML
49
34
0
11 Feb 2014
Consistency of Causal Inference under the Additive Noise Model
Consistency of Causal Inference under the Additive Noise Model
Samory Kpotufe
Eleni Sgouritsa
Dominik Janzing
Bernhard Schölkopf
CML
71
45
0
19 Dec 2013
High-dimensional learning of linear causal networks via inverse
  covariance estimation
High-dimensional learning of linear causal networks via inverse covariance estimation
Po-Ling Loh
Peter Buhlmann
CML
115
189
0
14 Nov 2013
Identifiability of Gaussian structural equation models with equal error
  variances
Identifiability of Gaussian structural equation models with equal error variances
J. Peters
Peter Buhlmann
CML
178
339
0
11 May 2012
Causal inference using the algorithmic Markov condition
Causal inference using the algorithmic Markov condition
Dominik Janzing
Bernhard Schölkopf
CML
160
307
0
23 Apr 2008
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