Causal Structure Learning: a Combinatorial Perspective

2 June 2022

Papers citing "Causal Structure Learning: a Combinatorial Perspective"

12 / 12 papers shown

Title
Standardizing Structural Causal Models Weronika Ormaniec Scott Sussex Lars Lorch Bernhard Schölkopf Andreas Krause CML 44 5 0 17 Jun 2024
Investigating potential causes of Sepsis with Bayesian network structure learning Bruno Petrungaro N. K. Kitson Anthony C. Constantinou CML 44 0 0 13 Jun 2024
Effective Bayesian Causal Inference via Structural Marginalisation and Autoregressive Orders Christian Toth Christian Knoll Franz Pernkopf Robert Peharz CML 43 1 0 22 Feb 2024
Optimal estimation of Gaussian (poly)trees Yuhao Wang Ming Gao Wai Ming Tai Bryon Aragam Arnab Bhattacharyya TPM 16 1 0 09 Feb 2024
Learning Linear Gaussian Polytree Models with Interventions D. Tramontano L. Waldmann Mathias Drton Eliana Duarte 36 0 0 08 Nov 2023
Causal Abstraction with Soft Interventions Riccardo Massidda Atticus Geiger Thomas F. Icard D. Bacciu 15 13 0 22 Nov 2022
Optimal estimation of Gaussian DAG models Ming Gao W. Tai Bryon Aragam 27 9 0 25 Jan 2022
Universal Lower Bound for Learning Causal DAGs with Atomic Interventions Vibhor Porwal P. Srivastava Gaurav Sinha CML 20 2 0 09 Nov 2021
Parameter Priors for Directed Acyclic Graphical Models and the Characterization of Several Probability Distributions D. Geiger David Heckerman 111 195 0 05 May 2021
Causal Inference in the Presence of Latent Variables and Selection Bias Peter Spirtes Christopher Meek Thomas S. Richardson CML 141 434 0 20 Feb 2013
Causal Inference and Causal Explanation with Background Knowledge Christopher Meek CML 216 626 0 20 Feb 2013
A Transformational Characterization of Equivalent Bayesian Network Structures D. M. Chickering 151 416 0 20 Feb 2013