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Inferring latent structures via information inequalities

Inferring latent structures via information inequalities

8 July 2014
Rafael Chaves
L. Luft
T. O. Maciel
David Gross
Dominik Janzing
Bernhard Schölkopf
    CML
ArXiv (abs)PDFHTML

Papers citing "Inferring latent structures via information inequalities"

14 / 14 papers shown
Title
Bounding probabilities of causation through the causal marginal problem
Bounding probabilities of causation through the causal marginal problem
Numair Sani
Atalanti A. Mastakouri
Dominik Janzing
CML
109
4
0
04 Apr 2023
Latent-free equivalent mDAGs
Latent-free equivalent mDAGs
R. Evans
64
3
0
14 Sep 2022
Causal inference with imperfect instrumental variables
Causal inference with imperfect instrumental variables
N. Miklin
M. Gachechiladze
George Moreno
Rafael Chaves
57
6
0
04 Nov 2021
Restricted Hidden Cardinality Constraints in Causal Models
Restricted Hidden Cardinality Constraints in Causal Models
Beata Zjawin
Elie Wolfe
Robert W. Spekkens
CML
153
3
0
13 Sep 2021
Entropic Inequality Constraints from $e$-separation Relations in
  Directed Acyclic Graphs with Hidden Variables
Entropic Inequality Constraints from eee-separation Relations in Directed Acyclic Graphs with Hidden Variables
N. Finkelstein
Beata Zjawin
Elie Wolfe
I. Shpitser
Robert W. Spekkens
CML
63
3
0
15 Jul 2021
Causal Networks and Freedom of Choice in Bell's Theorem
Causal Networks and Freedom of Choice in Bell's Theorem
Rafael Chaves
George Moreno
E. Polino
D. Poderini
I. Agresti
...
G. Carvacho
Elie Wolfe
A. Canabarro
Robert W. Spekkens
F. Sciarrino
54
20
0
12 May 2021
Quantum causal inference in the presence of hidden common causes: An
  entropic approach
Quantum causal inference in the presence of hidden common causes: An entropic approach
Mohammad Ali Javidian
Vaneet Aggarwal
Z. Jacob
CML
76
2
0
24 Apr 2021
Causal Curiosity: RL Agents Discovering Self-supervised Experiments for
  Causal Representation Learning
Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning
Sumedh Anand Sontakke
Arash Mehrjou
Laurent Itti
Bernhard Schölkopf
CML
101
63
0
07 Oct 2020
A neural network oracle for quantum nonlocality problems in networks
A neural network oracle for quantum nonlocality problems in networks
Tamás Kriváchy
Yu Cai
D. Cavalcanti
Arash Tavakoli
N. Gisin
N. Brunner
64
64
0
24 Jul 2019
Multi-variate correlation and mixtures of product measures
Multi-variate correlation and mixtures of product measures
Tim Austin
29
6
0
27 Sep 2018
The Inflation Technique Completely Solves the Causal Compatibility
  Problem
The Inflation Technique Completely Solves the Causal Compatibility Problem
M. Navascués
Elie Wolfe
71
35
0
20 Jul 2017
Semidefinite tests for latent causal structures
Semidefinite tests for latent causal structures
Aditya Kela
Kai Von Prillwitz
J. Åberg
Rafael Chaves
David Gross
CML
91
19
0
03 Jan 2017
Graphs for margins of Bayesian networks
Graphs for margins of Bayesian networks
R. Evans
CMLUQCV
121
92
0
08 Aug 2014
Beyond Bell's Theorem II: Scenarios with arbitrary causal structure
Beyond Bell's Theorem II: Scenarios with arbitrary causal structure
Tobias Fritz
119
109
0
18 Apr 2014
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