Pearl's Calculus of Intervention Is Complete

27 June 2012

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

50 / 82 papers shown

Title
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 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 Simon Ferreira Charles K. Assaad CML 68 0 0 31 Oct 2024
An Overview of Causal Inference using Kernel Embeddings Dino Sejdinovic CML BDL 120 4 0 30 Oct 2024
Robust Domain Generalisation with Causal Invariant Bayesian Neural Networks Gaël Gendron Michael Witbrock Gillian Dobbie CML BDL OOD 67 0 0 08 Oct 2024
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 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 Sheresh Zahoor Anthony C. Constantinou Tim M Curtis Mohammed Hasanuzzaman CML 54 0 0 21 Mar 2024
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 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 Anna Guo David Benkeser Razieh Nabi CML 61 3 0 15 Dec 2023
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 ReLM ELM LRM 112 79 0 07 Dec 2023
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 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 Heyang Gong 40 0 0 17 Sep 2023
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 Zhi-Hong Deng Jing Jiang Guodong Long Chen Zhang CML LRM 107 16 0 04 Jul 2023
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 Gustau Camps-Valls Andreas Gerhardus Urmi Ninad Gherardo Varando Georg Martius E. Balaguer-Ballester Ricardo Vinuesa Emiliano Díaz L. Zanna Jakob Runge PINN AI4Cl AI4CE CML 108 77 0 21 May 2023
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 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 Gaël Gendron Michael Witbrock Gillian Dobbie OOD AI4CE CML 86 13 0 01 Feb 2023
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 Yusuke Kawamoto Sato Tetsuya Kohei Suenaga CML LRM 142 2 0 30 Oct 2022
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 Teodora Baluta Shiqi Shen S. Hitarth Shruti Tople Prateek Saxena OOD MIACV 102 20 0 18 Sep 2022
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 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 M. Vowels CML 76 2 0 10 Jun 2022
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 Yimu Yin Jiji Zhang 30 2 0 11 Apr 2022
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 K. Makhlouf Sami Zhioua C. Palamidessi OOD FaML CML 43 3 0 11 Mar 2022
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 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 Ehsan Mokhtarian Fatemeh Jamshidi Devendra Singh Dhami Kristian Kersting CML 50 10 0 22 Oct 2021
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 Maxime Gasse Damien Grasset Guillaume Gaudron Pierre-Yves Oudeyer CML OffRL 85 52 0 28 Jun 2021
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 Wenhao Zhang Ramin Ramezani A. Naeim CML OOD 76 6 0 10 May 2021
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 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 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 Rohit Bhattacharya Tushar Nagarajan Daniel Malinsky I. Shpitser CML 80 61 0 14 Oct 2020
Reconciling Causality and Statistics Pirmin Lemberger Denis Oblin CML 10 0 0 08 Jul 2020
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 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 Rohit Bhattacharya Razieh Nabi I. Shpitser CML 108 64 0 27 Mar 2020
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 Jouni Helske Santtu Tikka Juha Karvanen CML 37 9 0 06 Mar 2020