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Causal Inference Under Interference And Network Uncertainty

Causal Inference Under Interference And Network Uncertainty

29 June 2019
Rohit Bhattacharya
Daniel Malinsky
I. Shpitser
    CML
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Papers citing "Causal Inference Under Interference And Network Uncertainty"

7 / 7 papers shown
Title
Your Assumed DAG is Wrong and Here's How To Deal With It
Kirtan Padh
Zhufeng Li
Cecilia Casolo
Niki Kilbertus
CML
81
0
0
24 Feb 2025
Model selection and local geometry
Model selection and local geometry
R. Evans
53
14
0
25 Jan 2018
A Sound and Complete Algorithm for Learning Causal Models from
  Relational Data
A Sound and Complete Algorithm for Learning Causal Models from Relational Data
Marc E. Maier
Katerina Marazopoulou
David Arbour
David D. Jensen
CML
64
57
0
26 Sep 2013
Causal Discovery with Continuous Additive Noise Models
Causal Discovery with Continuous Additive Noise Models
Jonas Peters
Joris Mooij
Dominik Janzing
Bernhard Schölkopf
CML
100
569
0
26 Sep 2013
On Learning Discrete Graphical Models Using Greedy Methods
On Learning Discrete Graphical Models Using Greedy Methods
A. Jalali
Christopher C. Johnson
Pradeep Ravikumar
76
102
0
16 Jul 2011
Extended Bayesian Information Criteria for Gaussian Graphical Models
Extended Bayesian Information Criteria for Gaussian Graphical Models
Rina Foygel
Mathias Drton
167
869
0
30 Nov 2010
High-dimensional Ising model selection using ${\ell_1}$-regularized
  logistic regression
High-dimensional Ising model selection using ℓ1{\ell_1}ℓ1​-regularized logistic regression
Pradeep Ravikumar
Martin J. Wainwright
John D. Lafferty
272
957
0
02 Oct 2010
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