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Bayesian network structure learning with causal effects in the presence
  of latent variables
v1v2 (latest)

Bayesian network structure learning with causal effects in the presence of latent variables

29 May 2020
Kiattikun Chobtham
Anthony C. Constantinou
    CMLBDL
ArXiv (abs)PDFHTML

Papers citing "Bayesian network structure learning with causal effects in the presence of latent variables"

10 / 10 papers shown
Title
Uncovering Bias Mechanisms in Observational Studies
Uncovering Bias Mechanisms in Observational Studies
Ilker Demirel
Zeshan Hussain
Piersilvio De Bartolomeis
D. Sontag
CML
36
0
0
01 Jun 2025
Covariate Dependent Mixture of Bayesian Networks
Covariate Dependent Mixture of Bayesian Networks
Román Marchant
Dario Draca
Gilad Francis
Sahand Assadzadeh
Mathew Varidel
Frank Iorfino
Sally Cripps
CML
83
1
0
10 Jan 2025
Open problems in causal structure learning: A case study of COVID-19 in
  the UK
Open problems in causal structure learning: A case study of COVID-19 in the UK
Anthony C. Constantinou
N. K. Kitson
Yang Liu
Kiattikun Chobtham
Arian Hashemzadeh
Praharsh Nanavati
R. Mbuvha
Bruno Petrungaro
CML
76
9
0
05 May 2023
Causal Structure Learning: a Combinatorial Perspective
Causal Structure Learning: a Combinatorial Perspective
C. Squires
Caroline Uhler
CML
120
47
0
02 Jun 2022
Hybrid Bayesian network discovery with latent variables by scoring
  multiple interventions
Hybrid Bayesian network discovery with latent variables by scoring multiple interventions
Kiattikun Chobtham
Anthony C. Constantinou
N. K. Kitson
BDL
36
3
0
20 Dec 2021
Recursive Causal Structure Learning in the Presence of Latent Variables
  and Selection Bias
Recursive Causal Structure Learning in the Presence of Latent Variables and Selection Bias
S. Akbari
Ehsan Mokhtarian
AmirEmad Ghassami
Negar Kiyavash
CML
59
26
0
22 Oct 2021
A survey of Bayesian Network structure learning
A survey of Bayesian Network structure learning
N. K. Kitson
Anthony C. Constantinou
Zhi-gao Guo
Yang Liu
Kiattikun Chobtham
CML
106
198
0
23 Sep 2021
Integer Programming for Causal Structure Learning in the Presence of
  Latent Variables
Integer Programming for Causal Structure Learning in the Presence of Latent Variables
Rui Chen
S. Dash
Tian Gao
CML
86
15
0
05 Feb 2021
Large-scale empirical validation of Bayesian Network structure learning
  algorithms with noisy data
Large-scale empirical validation of Bayesian Network structure learning algorithms with noisy data
Anthony C. Constantinou
Yang Liu
Kiattikun Chobtham
Zhi-gao Guo
N. K. Kitson
CML
73
63
0
18 May 2020
Learning Bayesian Networks that enable full propagation of evidence
Learning Bayesian Networks that enable full propagation of evidence
Anthony C. Constantinou
92
17
0
09 Apr 2020
1