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Separators and Adjustment Sets in Causal Graphs: Complete Criteria and
  an Algorithmic Framework
v1v2v3 (latest)

Separators and Adjustment Sets in Causal Graphs: Complete Criteria and an Algorithmic Framework

28 February 2018
Benito van der Zander
Maciej Liskiewicz
J. Textor
    CML
ArXiv (abs)PDFHTML

Papers citing "Separators and Adjustment Sets in Causal Graphs: Complete Criteria and an Algorithmic Framework"

14 / 14 papers shown
Title
Linear-Time Primitives for Algorithm Development in Graphical Causal Inference
Linear-Time Primitives for Algorithm Development in Graphical Causal Inference
Marcel Wienöbst
Sebastian Weichwald
Leonard Henckel
17
0
0
18 Jun 2025
Faithlessness in Gaussian graphical models
Faithlessness in Gaussian graphical models
Mathias Drton
Leonard Henckel
Benjamin Hollering
Pratik Misra
75
1
0
08 Apr 2024
Disentangled Latent Representation Learning for Tackling the Confounding
  M-Bias Problem in Causal Inference
Disentangled Latent Representation Learning for Tackling the Confounding M-Bias Problem in Causal Inference
Debo Cheng
Yang Xie
Ziqi Xu
Jiuyong Li
Lin Liu
Jixue Liu
Yinghao Zhang
Zaiwen Feng
CMLBDL
60
1
0
08 Dec 2023
Confounder selection via iterative graph expansion
Confounder selection via iterative graph expansion
F. R. Guo
Qingyuan Zhao
CML
54
6
0
12 Sep 2023
Finding and Listing Front-door Adjustment Sets
Finding and Listing Front-door Adjustment Sets
H. Jeong
Jin Tian
Elias Bareinboim
81
9
0
11 Oct 2022
Data-Driven Causal Effect Estimation Based on Graphical Causal
  Modelling: A Survey
Data-Driven Causal Effect Estimation Based on Graphical Causal Modelling: A Survey
Debo Cheng
Jiuyong Li
Lin Liu
Jixue Liu
T. Le
CML
94
32
0
20 Aug 2022
Combinatorial Pure Exploration of Causal Bandits
Combinatorial Pure Exploration of Causal Bandits
Nuoya Xiong
Wei Chen
CML
126
9
0
16 Jun 2022
Polynomial-Time Algorithms for Counting and Sampling Markov Equivalent
  DAGs with Applications
Polynomial-Time Algorithms for Counting and Sampling Markov Equivalent DAGs with Applications
Marcel Wienöbst
Max Bannach
Maciej Liskiewicz
49
10
0
05 May 2022
Invariant Ancestry Search
Invariant Ancestry Search
Phillip B. Mogensen
Nikolaj Thams
J. Peters
96
5
0
02 Feb 2022
A note on efficient minimum cost adjustment sets in causal graphical
  models
A note on efficient minimum cost adjustment sets in causal graphical models
Ezequiel Smucler
A. Rotnitzky
CML
66
8
0
06 Jan 2022
Necessary and sufficient graphical conditions for optimal adjustment
  sets in causal graphical models with hidden variables
Necessary and sufficient graphical conditions for optimal adjustment sets in causal graphical models with hidden variables
Jakob Runge
CML
94
27
0
20 Feb 2021
Efficient adjustment sets in causal graphical models with hidden
  variables
Efficient adjustment sets in causal graphical models with hidden variables
Ezequiel Smucler
F. Sapienza
A. Rotnitzky
CMLOffRL
100
33
0
22 Apr 2020
Causal Effect Identification from Multiple Incomplete Data Sources: A
  General Search-based Approach
Causal Effect Identification from Multiple Incomplete Data Sources: A General Search-based Approach
Santtu Tikka
Antti Hyttinen
Juha Karvanen
CML
172
31
0
04 Feb 2019
Complete Graphical Characterization and Construction of Adjustment Sets
  in Markov Equivalence Classes of Ancestral Graphs
Complete Graphical Characterization and Construction of Adjustment Sets in Markov Equivalence Classes of Ancestral Graphs
Emilija Perković
J. Textor
M. Kalisch
Marloes H. Maathuis
OffRL
95
149
0
22 Jun 2016
1