Geometry of the faithfulness assumption in causal inference

2 July 2012

Papers citing "Geometry of the faithfulness assumption in causal inference"

30 / 30 papers shown

Title
dcFCI: Robust Causal Discovery Under Latent Confounding, Unfaithfulness, and Mixed Data Adèle Ribeiro Dominik Heider CML 21 0 0 10 May 2025
Representation Learning Preserving Ignorability and Covariate Matching for Treatment Effects Praharsh Nanavati Ranjitha Prasad Karthikeyan Shanmugam OOD CML 61 0 0 29 Apr 2025
No Foundations without Foundations -- Why semi-mechanistic models are essential for regulatory biology Luka Kovacevic Thomas Gaudelet James Opzoomer Hagen Triendl John Whittaker Caroline Uhler Lindsay Edwards J. Taylor-King AI4CE 67 0 0 31 Jan 2025
Score matching through the roof: linear, nonlinear, and latent variables causal discovery Francesco Montagna P. M. Faller Patrick Bloebaum Elke Kirschbaum Francesco Locatello CML 79 0 0 26 Jul 2024
Demystifying amortized causal discovery with transformers Francesco Montagna Max Cairney-Leeming Dhanya Sridhar Francesco Locatello CML 57 1 0 27 May 2024
Integer Programming for Learning Directed Acyclic Graphs from Non-identifiable Gaussian Models Tong Xu Armeen Taeb Simge Kuccukyavuz Ali Shojaie CML 31 1 0 19 Apr 2024
Faithlessness in Gaussian graphical models Mathias Drton Leonard Henckel Benjamin Hollering Pratik Misra 38 1 0 08 Apr 2024
Signature Kernel Conditional Independence Tests in Causal Discovery for Stochastic Processes Georg Manten Cecilia Casolo E. Ferrucci Søren Wengel Mogensen C. Salvi Niki Kilbertus CML BDL 29 8 0 28 Feb 2024
Optimal estimation of Gaussian (poly)trees Yuhao Wang Ming Gao Wai Ming Tai Bryon Aragam Arnab Bhattacharyya TPM 14 1 0 09 Feb 2024
Bayesian Approach to Linear Bayesian Networks Seyong Hwang Kyoungjae Lee Sunmin Oh Gunwoong Park 19 0 0 27 Nov 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
$$\texttt{causalAssembly}$: Generating Realistic Production Data for Benchmarking Causal Discovery$ $\texttt{causalAssembly}$ : Generating Realistic Production Data for Benchmarking Causal Discovery Konstantin Göbler Tobias Windisch Mathias Drton T. Pychynski Steffen Sonntag Martin Roth CML 60 9 0 19 Jun 2023
Causal Razors Wai-yin Lam CML 16 0 0 20 Feb 2023
Domain Knowledge in A*-Based Causal Discovery Steven Kleinegesse A. Lawrence Hana Chockler CML 10 3 0 17 Aug 2022
Large-Scale Differentiable Causal Discovery of Factor Graphs Romain Lopez Jan-Christian Hütter J. Pritchard Aviv Regev CML AI4CE 35 40 0 15 Jun 2022
Greedy Relaxations of the Sparsest Permutation Algorithm Wai-yin Lam Bryan Andrews Joseph Ramsey 17 43 0 11 Jun 2022
PAC Generalization via Invariant Representations Advait Parulekar Karthikeyan Shanmugam Sanjay Shakkottai 21 3 0 30 May 2022
Order-based Structure Learning without Score Equivalence Hyunwoong Chang James Cai Quan Zhou CML OffRL 13 3 0 10 Feb 2022
Efficient Bayesian network structure learning via local Markov boundary search Ming Gao Bryon Aragam 22 17 0 12 Oct 2021
Obtaining Causal Information by Merging Datasets with MAXENT Sergio Hernan Garrido Mejia Elke Kirschbaum Dominik Janzing CML 10 9 0 15 Jul 2021
Finding Valid Adjustments under Non-ignorability with Minimal DAG Knowledge Abhin Shah Karthikeyan Shanmugam Kartik Ahuja CML 21 12 0 22 Jun 2021
A Weaker Faithfulness Assumption based on Triple Interactions Alexander Marx A. Gretton Joris M. Mooij 15 14 0 27 Oct 2020
Causal Discovery with a Mixture of DAGs Eric V. Strobl CML 14 17 0 28 Jan 2019
Efficient Sampling and Structure Learning of Bayesian Networks Jack Kuipers Polina Suter G. Moffa TPM CML 10 69 0 21 Mar 2018
Learning Identifiable Gaussian Bayesian Networks in Polynomial Time and Sample Complexity Asish Ghoshal Jean Honorio CML TPM 26 55 0 03 Mar 2017
Learning Directed Acyclic Graphs with Penalized Neighbourhood Regression Bryon Aragam Arash A. Amini Qing Zhou CML 6 42 0 29 Nov 2015
High-dimensional consistency in score-based and hybrid structure learning Preetam Nandy Alain Hauser Marloes H. Maathuis 39 128 0 09 Jul 2015
Perfect Tree-Like Markovian Distributions A. Becker D. Geiger Christopher Meek 42 20 0 16 Jan 2013
Identifiability of Gaussian structural equation models with equal error variances J. Peters Peter Buhlmann CML 60 331 0 11 May 2012
Trek separation for Gaussian graphical models S. Sullivant Kelli Talaska J. Draisma 125 124 0 10 Dec 2008