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Pearl's Calculus of Intervention Is Complete

Pearl's Calculus of Intervention Is Complete

27 June 2012
Yimin Huang
Marco Valtorta
    CML
ArXiv (abs)PDFHTML

Papers citing "Pearl's Calculus of Intervention Is Complete"

50 / 82 papers shown
Title
Clustering and Pruning in Causal Data Fusion
Clustering and Pruning in Causal Data Fusion
Otto Tabell
Santtu Tikka
Juha Karvanen
CML
48
0
0
21 May 2025
DeCaFlow: A Deconfounding Causal Generative Model
DeCaFlow: A Deconfounding Causal Generative Model
Alejandro Almodóvar
Adrián Javaloy
J. Parras
Santiago Zazo
Isabel Valera
CML
78
0
0
19 Mar 2025
Average Controlled and Average Natural Micro Direct Effects in Summary
  Causal Graphs
Average Controlled and Average Natural Micro Direct Effects in Summary Causal Graphs
Simon Ferreira
Charles K. Assaad
CML
68
0
0
31 Oct 2024
An Overview of Causal Inference using Kernel Embeddings
An Overview of Causal Inference using Kernel Embeddings
Dino Sejdinovic
CMLBDL
120
4
0
30 Oct 2024
Robust Domain Generalisation with Causal Invariant Bayesian Neural
  Networks
Robust Domain Generalisation with Causal Invariant Bayesian Neural Networks
Gaël Gendron
Michael Witbrock
Gillian Dobbie
CMLBDLOOD
67
0
0
08 Oct 2024
Fast Proxy Experiment Design for Causal Effect Identification
Fast Proxy Experiment Design for Causal Effect Identification
Sepehr Elahi
S. Akbari
Jalal Etesami
Negar Kiyavash
Patrick Thiran
55
0
0
07 Jul 2024
Investigating potential causes of Sepsis with Bayesian network structure learning
Investigating potential causes of Sepsis with Bayesian network structure learning
Bruno Petrungaro
N. K. Kitson
Anthony C. Constantinou
CML
131
0
0
13 Jun 2024
Investigating the validity of structure learning algorithms in
  identifying risk factors for intervention in patients with diabetes
Investigating the validity of structure learning algorithms in identifying risk factors for intervention in patients with diabetes
Sheresh Zahoor
Anthony C. Constantinou
Tim M Curtis
Mohammed Hasanuzzaman
CML
54
0
0
21 Mar 2024
Distribution-consistency Structural Causal Models
Distribution-consistency Structural Causal Models
Heyang Gong
Chaochao Lu
Yu Zhang
34
1
0
29 Jan 2024
Modular Learning of Deep Causal Generative Models for High-dimensional
  Causal Inference
Modular Learning of Deep Causal Generative Models for High-dimensional Causal Inference
Md Musfiqur Rahman
Murat Kocaoglu
OOD
83
3
0
02 Jan 2024
Targeted Machine Learning for Average Causal Effect Estimation Using the
  Front-Door Functional
Targeted Machine Learning for Average Causal Effect Estimation Using the Front-Door Functional
Anna Guo
David Benkeser
Razieh Nabi
CML
61
3
0
15 Dec 2023
CLadder: Assessing Causal Reasoning in Language Models
CLadder: Assessing Causal Reasoning in Language Models
Zhijing Jin
Yuen Chen
Felix Leeb
Luigi Gresele
Ojasv Kamal
...
Kevin Blin
Fernando Gonzalez Adauto
Max Kleiman-Weiner
Mrinmaya Sachan
Bernhard Schölkopf
ReLMELMLRM
112
79
0
07 Dec 2023
An Introduction to Causal Inference Methods for Observational
  Human-Robot Interaction Research
An Introduction to Causal Inference Methods for Observational Human-Robot Interaction Research
Jaron J. R. Lee
G. Ajaykumar
I. Shpitser
Chien-Ming Huang
38
1
0
31 Oct 2023
Projecting infinite time series graphs to finite marginal graphs using
  number theory
Projecting infinite time series graphs to finite marginal graphs using number theory
Andreas Gerhardus
Jonas Wahl
Sofia Faltenbacher
Urmi Ninad
Jakob Runge
AI4TS
62
3
0
09 Oct 2023
Answering Causal Queries at Layer 3 with DiscoSCMs-Embracing
  Heterogeneity
Answering Causal Queries at Layer 3 with DiscoSCMs-Embracing Heterogeneity
Heyang Gong
40
0
0
17 Sep 2023
Relation-First Modeling Paradigm for Causal Representation Learning
  toward the Development of AGI
Relation-First Modeling Paradigm for Causal Representation Learning toward the Development of AGI
Jia Li
Xiang Li
115
0
0
31 Jul 2023
Causal Reinforcement Learning: A Survey
Causal Reinforcement Learning: A Survey
Zhi-Hong Deng
Jing Jiang
Guodong Long
Chen Zhang
CMLLRM
107
16
0
04 Jul 2023
Explaining SAT Solving Using Causal Reasoning
Explaining SAT Solving Using Causal Reasoning
Jiong Yang
Arijit Shaw
Teodora Baluta
Mate Soos
Kuldeep S. Meel
LRM
51
1
0
09 Jun 2023
Discovering Causal Relations and Equations from Data
Discovering Causal Relations and Equations from Data
Gustau Camps-Valls
Andreas Gerhardus
Urmi Ninad
Gherardo Varando
Georg Martius
E. Balaguer-Ballester
Ricardo Vinuesa
Emiliano Díaz
L. Zanna
Jakob Runge
PINNAI4ClAI4CECML
108
77
0
21 May 2023
Axiomatization of Interventional Probability Distributions
Axiomatization of Interventional Probability Distributions
Kayvan Sadeghi
Terry Soo
60
4
0
08 May 2023
Combining Graphical and Algebraic Approaches for Parameter
  Identification in Latent Variable Structural Equation Models
Combining Graphical and Algebraic Approaches for Parameter Identification in Latent Variable Structural Equation Models
Ankur Ankan
Inge M. N. Wortel
K. Bollen
J. Textor
CML
24
2
0
26 Feb 2023
A Survey of Methods, Challenges and Perspectives in Causality
A Survey of Methods, Challenges and Perspectives in Causality
Gaël Gendron
Michael Witbrock
Gillian Dobbie
OODAI4CECML
86
13
0
01 Feb 2023
Linear-Time Algorithms for Front-Door Adjustment in Causal Graphs
Linear-Time Algorithms for Front-Door Adjustment in Causal Graphs
Marcel Wienöbst
Benito van der Zander
Maciej Liskiewicz
CML
91
4
0
29 Nov 2022
Formalizing Statistical Causality via Modal Logic
Formalizing Statistical Causality via Modal Logic
Yusuke Kawamoto
Sato Tetsuya
Kohei Suenaga
CMLLRM
142
2
0
30 Oct 2022
Neural Causal Models for Counterfactual Identification and Estimation
Neural Causal Models for Counterfactual Identification and Estimation
K. Xia
Yushu Pan
Elias Bareinboim
CML
109
39
0
30 Sep 2022
Membership Inference Attacks and Generalization: A Causal Perspective
Membership Inference Attacks and Generalization: A Causal Perspective
Teodora Baluta
Shiqi Shen
S. Hitarth
Shruti Tople
Prateek Saxena
OODMIACV
102
20
0
18 Sep 2022
Causal Imitation Learning with Unobserved Confounders
Causal Imitation Learning with Unobserved Confounders
Junzhe Zhang
D. Kumor
Elias Bareinboim
CML
86
76
0
12 Aug 2022
Causal Effect Identification in Uncertain Causal Networks
Causal Effect Identification in Uncertain Causal Networks
S. Akbari
Fatemeh Jamshidi
Ehsan Mokhtarian
M. Vowels
Jalal Etesami
Negar Kiyavash
CML
63
3
0
09 Aug 2022
A Causal Research Pipeline and Tutorial for Psychologists and Social
  Scientists
A Causal Research Pipeline and Tutorial for Psychologists and Social Scientists
M. Vowels
CML
76
2
0
10 Jun 2022
Experimental Design for Causal Effect Identification
Experimental Design for Causal Effect Identification
S. Akbari
Jalal Etesami
Negar Kiyavash
CML
62
1
0
04 May 2022
Markov categories, causal theories, and the do-calculus
Markov categories, causal theories, and the do-calculus
Yimu Yin
Jiji Zhang
30
2
0
11 Apr 2022
From Statistical to Causal Learning
From Statistical to Causal Learning
Bernhard Schölkopf
Julius von Kügelgen
CML
100
46
0
01 Apr 2022
Identifiability of Causal-based Fairness Notions: A State of the Art
Identifiability of Causal-based Fairness Notions: A State of the Art
K. Makhlouf
Sami Zhioua
C. Palamidessi
OODFaMLCML
43
3
0
11 Mar 2022
Causal Effect Identification in Cluster DAGs
Causal Effect Identification in Cluster DAGs
Tarandeep Anand
A. Ribeiro
Jin Tian
Elias Bareinboim
CML
67
17
0
22 Feb 2022
A Free Lunch with Influence Functions? Improving Neural Network
  Estimates with Concepts from Semiparametric Statistics
A Free Lunch with Influence Functions? Improving Neural Network Estimates with Concepts from Semiparametric Statistics
M. Vowels
S. Akbari
Necati Cihan Camgöz
Richard Bowden
66
4
0
18 Feb 2022
Causal Effect Identification with Context-specific Independence
  Relations of Control Variables
Causal Effect Identification with Context-specific Independence Relations of Control Variables
Ehsan Mokhtarian
Fatemeh Jamshidi
Devendra Singh Dhami
Kristian Kersting
CML
50
10
0
22 Oct 2021
The Proximal ID Algorithm
The Proximal ID Algorithm
I. Shpitser
Zach Wood-Doughty
E. T. Tchetgen
CML
87
17
0
15 Aug 2021
Causal Reinforcement Learning using Observational and Interventional
  Data
Causal Reinforcement Learning using Observational and Interventional Data
Maxime Gasse
Damien Grasset
Guillaume Gaudron
Pierre-Yves Oudeyer
CMLOffRL
85
52
0
28 Jun 2021
Assessing the Causal Impact of COVID-19 Related Policies on Outbreak
  Dynamics: A Case Study in the US
Assessing the Causal Impact of COVID-19 Related Policies on Outbreak Dynamics: A Case Study in the US
Jing Ma
Yushun Dong
Zhengxiong Huang
D. Mietchen
Jundong Li
CML
59
29
0
29 May 2021
Causal Inference in medicine and in health policy, a summary
Causal Inference in medicine and in health policy, a summary
Wenhao Zhang
Ramin Ramezani
A. Naeim
CMLOOD
76
6
0
10 May 2021
SBI: A Simulation-Based Test of Identifiability for Bayesian Causal
  Inference
SBI: A Simulation-Based Test of Identifiability for Bayesian Causal Inference
Sam Witty
David D. Jensen
Vikash K. Mansinghka
CML
78
3
0
23 Feb 2021
Do-calculus enables estimation of causal effects in partially observed
  biomolecular pathways
Do-calculus enables estimation of causal effects in partially observed biomolecular pathways
Sara Mohammad-Taheri
Jeremy Zucker
C. Hoyt
Karen Sachs
Vartika Tewari
Robert Osazuwa Ness
and Olga Vitek
51
0
0
12 Feb 2021
Causal Inference in the Presence of Interference in Sponsored Search
  Advertising
Causal Inference in the Presence of Interference in Sponsored Search Advertising
Razieh Nabi
Joel Pfeiffer
Murat Ali Bayir
Denis Xavier Charles
Emre Kıcıman
CML
126
14
0
15 Oct 2020
Differentiable Causal Discovery Under Unmeasured Confounding
Differentiable Causal Discovery Under Unmeasured Confounding
Rohit Bhattacharya
Tushar Nagarajan
Daniel Malinsky
I. Shpitser
CML
80
61
0
14 Oct 2020
Reconciling Causality and Statistics
Reconciling Causality and Statistics
Pirmin Lemberger
Denis Oblin
CML
10
0
0
08 Jul 2020
Deriving Bounds and Inequality Constraints Using LogicalRelations Among
  Counterfactuals
Deriving Bounds and Inequality Constraints Using LogicalRelations Among Counterfactuals
N. Finkelstein
I. Shpitser
37
11
0
01 Jul 2020
Causal Feature Selection for Algorithmic Fairness
Causal Feature Selection for Algorithmic Fairness
Sainyam Galhotra
Karthikeyan Shanmugam
P. Sattigeri
Kush R. Varshney
FaML
89
43
0
10 Jun 2020
Semiparametric Inference For Causal Effects In Graphical Models With
  Hidden Variables
Semiparametric Inference For Causal Effects In Graphical Models With Hidden Variables
Rohit Bhattacharya
Razieh Nabi
I. Shpitser
CML
108
64
0
27 Mar 2020
Towards Causality-Aware Inferring: A Sequential Discriminative Approach
  for Medical Diagnosis
Towards Causality-Aware Inferring: A Sequential Discriminative Approach for Medical Diagnosis
Junfan Lin
Keze Wang
Ziliang Chen
Xiaodan Liang
Liang Lin
CML
121
7
0
14 Mar 2020
Estimation of causal effects with small data in the presence of trapdoor
  variables
Estimation of causal effects with small data in the presence of trapdoor variables
Jouni Helske
Santtu Tikka
Juha Karvanen
CML
37
9
0
06 Mar 2020
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