Causal Inference and Causal Explanation with Background Knowledge

20 February 2013

Papers citing "Causal Inference and Causal Explanation with Background Knowledge"

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Title
Characterization and Learning of Causal Graphs from Hard Interventions Zihan Zhou Muhammad Qasim Elahi Murat Kocaoglu CML 77 0 0 02 May 2025
Event-Triggered Nonlinear Model Predictive Control for Cooperative Cable-Suspended Payload Transportation with Multi-Quadrotors Tohid Kargar Tasooji Sakineh Khodadadi Guangjun Liu 22 0 0 26 Mar 2025
Characterization and Greedy Learning of Gaussian Structural Causal Models under Unknown Interventions Juan L. Gamella Armeen Taeb C. Heinze-Deml Peter Buhlmann CML 83 7 0 13 Mar 2025
IGDA: Interactive Graph Discovery through Large Language Model Agents Alex Havrilla David Alvarez-Melis Nicolò Fusi AI4CE 42 0 0 24 Feb 2025
SNAP: Sequential Non-Ancestor Pruning for Targeted Causal Effect Estimation With an Unknown Graph Mátyás Schubert Tom Claassen Sara Magliacane CML 68 0 0 11 Feb 2025
Practically Effective Adjustment Variable Selection in Causal Inference Atsushi Noda Takashi Isozaki 63 0 0 04 Feb 2025
Standardizing Structural Causal Models Weronika Ormaniec Scott Sussex Lars Lorch Bernhard Schölkopf Andreas Krause CML 41 5 0 17 Jun 2024
Adaptive Online Experimental Design for Causal Discovery Muhammad Qasim Elahi Lai Wei Murat Kocaoglu Mahsa Ghasemi CML 33 1 0 19 May 2024
Beyond the Edge: An Advanced Exploration of Reinforcement Learning for Mobile Edge Computing, its Applications, and Future Research Trajectories Ning Yang Shuo Chen Haijun Zhang Randall Berry OffRL 29 5 0 22 Apr 2024
Online Handbook of Argumentation for AI: Volume 4 Lars Bengel Lydia Blümel Elfia Bezou-Vrakatseli Federico Castagna Giulia DÁgostino ... Daphne Odekerken Fabrizio Russo Stefan Sarkadi Madeleine Waller A. Xydis 17 0 0 20 Dec 2023
Learning bounded-degree polytrees with known skeleton Davin Choo Joy Qiping Yang Arnab Bhattacharyya C. Canonne 13 2 0 10 Oct 2023
Human-in-the-Loop Causal Discovery under Latent Confounding using Ancestral GFlowNets Tiago da Silva Eliezer de Souza da Silva Adèle Ribeiro António Góis Dominik Heider Samuel Kaski Diego Mesquita CML 35 6 0 21 Sep 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 29 72 0 21 May 2023
A Survey on Causal Discovery: Theory and Practice Alessio Zanga Fabio Stella CML 19 37 0 17 May 2023
Causal Razors Wai-yin Lam CML 16 0 0 20 Feb 2023
CDANs: Temporal Causal Discovery from Autocorrelated and Non-Stationary Time Series Data Muhammad Hasan Ferdous Uzma Hasan Md. Osman Gani CML 22 3 0 07 Feb 2023
Fast Parallel Bayesian Network Structure Learning Jiantong Jiang Zeyi Wen Ajmal Saeed Mian 19 6 0 08 Dec 2022
Towards Privacy-Aware Causal Structure Learning in Federated Setting Jianli Huang Xianjie Guo Kui Yu Fuyuan Cao Jiye Liang FedML 21 9 0 13 Nov 2022
Domain Knowledge in A*-Based Causal Discovery Steven Kleinegesse A. Lawrence Hana Chockler CML 10 2 0 17 Aug 2022
A Causal Approach to Detecting Multivariate Time-series Anomalies and Root Causes Wenzhuo Yang Kun Zhang S. Hoi AI4TS CML 18 9 0 30 Jun 2022
Counterfactual Fairness with Partially Known Causal Graph Aoqi Zuo Susan Wei Tongliang Liu Bo Han Kun Zhang Mingming Gong OOD FaML 13 19 0 27 May 2022
Polynomial-Time Algorithms for Counting and Sampling Markov Equivalent DAGs with Applications Marcel Wienöbst Max Bannach Maciej Liskiewicz 14 9 0 05 May 2022
From Statistical to Causal Learning Bernhard Schölkopf Julius von Kügelgen CML 15 45 0 01 Apr 2022
Causal discovery for observational sciences using supervised machine learning A. H. Petersen Joseph Ramsey C. Ekstrøm Peter Spirtes CML 24 14 0 25 Feb 2022
Variable elimination, graph reduction and efficient g-formula F. R. Guo Emilija Perković A. Rotnitzky CML 11 5 0 24 Feb 2022
The Dual PC Algorithm and the Role of Gaussianity for Structure Learning of Bayesian Networks Enrico Giudice Jack Kuipers G. Moffa CML 61 5 0 16 Dec 2021
gCastle: A Python Toolbox for Causal Discovery Keli Zhang Shengyu Zhu Marcus Kalander Ignavier Ng Junjian Ye Zhitang Chen Lujia Pan CML 16 59 0 30 Nov 2021
Universal Lower Bound for Learning Causal DAGs with Atomic Interventions Vibhor Porwal P. Srivastava Gaurav Sinha CML 17 2 0 09 Nov 2021
A survey of Bayesian Network structure learning N. K. Kitson Anthony C. Constantinou Zhi-gao Guo Yang Liu Kiattikun Chobtham CML 15 181 0 23 Sep 2021
A Fast PC Algorithm with Reversed-order Pruning and A Parallelization Strategy Kai Zhang Chao Tian Kun Zhang Todd Johnson Xiaoqian Jiang CML 32 4 0 10 Sep 2021
Data-driven discovery of interpretable causal relations for deep learning material laws with uncertainty propagation Xiao Sun B. Bahmani Nikolaos N. Vlassis WaiChing Sun Yanxun Xu CML AI4CE 57 26 0 20 May 2021
Active Structure Learning of Causal DAGs via Directed Clique Tree C. Squires Sara Magliacane Kristjan Greenewald Dmitriy A. Katz Murat Kocaoglu Karthikeyan Shanmugam CML 48 33 0 01 Nov 2020
A Weaker Faithfulness Assumption based on Triple Interactions Alexander Marx A. Gretton Joris M. Mooij 15 14 0 27 Oct 2020
A Recursive Markov Boundary-Based Approach to Causal Structure Learning Ehsan Mokhtarian S. Akbari AmirEmad Ghassami Negar Kiyavash CML 6 17 0 10 Oct 2020
Size of Interventional Markov Equivalence Classes in Random DAG Models Dmitriy A. Katz Karthikeyan Shanmugam C. Squires Caroline Uhler CML 21 9 0 05 Mar 2019
Efficient Sampling and Structure Learning of Bayesian Networks Jack Kuipers Polina Suter G. Moffa TPM CML 10 69 0 21 Mar 2018
Counting and Sampling from Markov Equivalent DAGs Using Clique Trees AmirEmad Ghassami Saber Salehkaleybar Negar Kiyavash Kun Zhang CML 36 22 0 05 Feb 2018
Learning Identifiable Gaussian Bayesian Networks in Polynomial Time and Sample Complexity Asish Ghoshal Jean Honorio CML TPM 26 55 0 03 Mar 2017
Improving Accuracy and Scalability of the PC Algorithm by Maximizing P-value Joseph Ramsey 15 14 0 03 Oct 2016
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 17 140 0 22 Jun 2016
Causality on Longitudinal Data: Stable Specification Search in Constrained Structural Equation Modeling R. Rahmadi P. Groot Marieke HC van Rijn Jan AJG van den Brand M. Heins H. Knoop Tom Heskes CML 13 15 0 22 May 2016
High-dimensional consistency in score-based and hybrid structure learning Preetam Nandy Alain Hauser Marloes H. Maathuis 39 128 0 09 Jul 2015
Scoring and Searching over Bayesian Networks with Causal and Associative Priors Giorgos Borboudakis Ioannis Tsamardinos CML 45 14 0 09 Aug 2014
Bayesian Network Constraint-Based Structure Learning Algorithms: Parallel and Optimised Implementations in the bnlearn R Package M. Scutari CML 46 164 0 30 Jun 2014
A Transformational Characterization of Equivalent Bayesian Network Structures D. M. Chickering 151 416 0 20 Feb 2013
Causal Discovery from Changes Jin Tian Judea Pearl CML 54 163 0 10 Jan 2013
Enumerating Markov Equivalence Classes of Acyclic Digraph Models S. Gillispie M. Perlman 60 102 0 10 Jan 2013
Incorporating Causal Prior Knowledge as Path-Constraints in Bayesian Networks and Maximal Ancestral Graphs Giorgos Borboudakis Ioannis Tsamardinos 49 36 0 27 Jun 2012
Causal discovery of linear acyclic models with arbitrary distributions P. Hoyer Aapo Hyvarinen R. Scheines Peter Spirtes Joseph Ramsey Gustavo Lacerda Shohei Shimizu CML 63 80 0 13 Jun 2012
Markov equivalence for ancestral graphs R. A. Ali Thomas S. Richardson Peter Spirtes 102 111 0 25 Aug 2009