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1206.6831
Cited By
Pearl's Calculus of Intervention Is Complete
27 June 2012
Yimin Huang
Marco Valtorta
CML
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Papers citing
"Pearl's Calculus of Intervention Is Complete"
50 / 82 papers shown
Title
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Average Controlled and Average Natural Micro Direct Effects in Summary Causal Graphs
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An Overview of Causal Inference using Kernel Embeddings
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Robust Domain Generalisation with Causal Invariant Bayesian Neural Networks
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Michael Witbrock
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Fast Proxy Experiment Design for Causal Effect Identification
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07 Jul 2024
Investigating potential causes of Sepsis with Bayesian network structure learning
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Anthony C. Constantinou
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Investigating the validity of structure learning algorithms in identifying risk factors for intervention in patients with diabetes
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Anthony C. Constantinou
Tim M Curtis
Mohammed Hasanuzzaman
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54
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21 Mar 2024
Distribution-consistency Structural Causal Models
Heyang Gong
Chaochao Lu
Yu Zhang
34
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29 Jan 2024
Modular Learning of Deep Causal Generative Models for High-dimensional Causal Inference
Md Musfiqur Rahman
Murat Kocaoglu
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02 Jan 2024
Targeted Machine Learning for Average Causal Effect Estimation Using the Front-Door Functional
Anna Guo
David Benkeser
Razieh Nabi
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61
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CLadder: Assessing Causal Reasoning in Language Models
Zhijing Jin
Yuen Chen
Felix Leeb
Luigi Gresele
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Kevin Blin
Fernando Gonzalez Adauto
Max Kleiman-Weiner
Mrinmaya Sachan
Bernhard Schölkopf
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112
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07 Dec 2023
An Introduction to Causal Inference Methods for Observational Human-Robot Interaction Research
Jaron J. R. Lee
G. Ajaykumar
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Projecting infinite time series graphs to finite marginal graphs using number theory
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Jonas Wahl
Sofia Faltenbacher
Urmi Ninad
Jakob Runge
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Answering Causal Queries at Layer 3 with DiscoSCMs-Embracing Heterogeneity
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Relation-First Modeling Paradigm for Causal Representation Learning toward the Development of AGI
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Causal Reinforcement Learning: A Survey
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Jing Jiang
Guodong Long
Chen Zhang
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04 Jul 2023
Explaining SAT Solving Using Causal Reasoning
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Arijit Shaw
Teodora Baluta
Mate Soos
Kuldeep S. Meel
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Discovering Causal Relations and Equations from Data
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Andreas Gerhardus
Urmi Ninad
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Ricardo Vinuesa
Emiliano Díaz
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108
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Axiomatization of Interventional Probability Distributions
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Terry Soo
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Combining Graphical and Algebraic Approaches for Parameter Identification in Latent Variable Structural Equation Models
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Inge M. N. Wortel
K. Bollen
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24
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26 Feb 2023
A Survey of Methods, Challenges and Perspectives in Causality
Gaël Gendron
Michael Witbrock
Gillian Dobbie
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AI4CE
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86
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Linear-Time Algorithms for Front-Door Adjustment in Causal Graphs
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Benito van der Zander
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Formalizing Statistical Causality via Modal Logic
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Sato Tetsuya
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142
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Neural Causal Models for Counterfactual Identification and Estimation
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Membership Inference Attacks and Generalization: A Causal Perspective
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Shiqi Shen
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18 Sep 2022
Causal Imitation Learning with Unobserved Confounders
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D. Kumor
Elias Bareinboim
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Causal Effect Identification in Uncertain Causal Networks
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Fatemeh Jamshidi
Ehsan Mokhtarian
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Negar Kiyavash
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63
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A Causal Research Pipeline and Tutorial for Psychologists and Social Scientists
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Experimental Design for Causal Effect Identification
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Jalal Etesami
Negar Kiyavash
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62
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Markov categories, causal theories, and the do-calculus
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Jiji Zhang
30
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From Statistical to Causal Learning
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Identifiability of Causal-based Fairness Notions: A State of the Art
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43
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Causal Effect Identification in Cluster DAGs
Tarandeep Anand
A. Ribeiro
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Elias Bareinboim
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67
17
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22 Feb 2022
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
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0
18 Feb 2022
Causal Effect Identification with Context-specific Independence Relations of Control Variables
Ehsan Mokhtarian
Fatemeh Jamshidi
Devendra Singh Dhami
Kristian Kersting
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50
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The Proximal ID Algorithm
I. Shpitser
Zach Wood-Doughty
E. T. Tchetgen
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87
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15 Aug 2021
Causal Reinforcement Learning using Observational and Interventional Data
Maxime Gasse
Damien Grasset
Guillaume Gaudron
Pierre-Yves Oudeyer
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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
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59
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Causal Inference in medicine and in health policy, a summary
Wenhao Zhang
Ramin Ramezani
A. Naeim
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76
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SBI: A Simulation-Based Test of Identifiability for Bayesian Causal Inference
Sam Witty
David D. Jensen
Vikash K. Mansinghka
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78
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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
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12 Feb 2021
Causal Inference in the Presence of Interference in Sponsored Search Advertising
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Joel Pfeiffer
Murat Ali Bayir
Denis Xavier Charles
Emre Kıcıman
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126
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Differentiable Causal Discovery Under Unmeasured Confounding
Rohit Bhattacharya
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Daniel Malinsky
I. Shpitser
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80
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Reconciling Causality and Statistics
Pirmin Lemberger
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10
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Deriving Bounds and Inequality Constraints Using LogicalRelations Among Counterfactuals
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37
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Causal Feature Selection for Algorithmic Fairness
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Karthikeyan Shanmugam
P. Sattigeri
Kush R. Varshney
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89
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Semiparametric Inference For Causal Effects In Graphical Models With Hidden Variables
Rohit Bhattacharya
Razieh Nabi
I. Shpitser
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108
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Towards Causality-Aware Inferring: A Sequential Discriminative Approach for Medical Diagnosis
Junfan Lin
Keze Wang
Ziliang Chen
Xiaodan Liang
Liang Lin
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121
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Estimation of causal effects with small data in the presence of trapdoor variables
Jouni Helske
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Juha Karvanen
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37
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