A Scale-Invariant Sorting Criterion to Find a Causal Order in Additive Noise Models

31 March 2023

Papers citing "A Scale-Invariant Sorting Criterion to Find a Causal Order in Additive Noise Models"

10 / 10 papers shown

Title
Unitless Unrestricted Markov-Consistent SCM Generation: Better Benchmark Datasets for Causal Discovery Rebecca Herman Jonas Wahl Urmi Ninad Jakob Runge 44 0 0 21 Mar 2025
CGLearn: Consistent Gradient-Based Learning for Out-of-Distribution Generalization Jawad Chowdhury G. Terejanu AI4CE BDL OOD OODD 33 0 0 09 Nov 2024
LoSAM: Local Search in Additive Noise Models with Mixed Mechanisms and General Noise for Global Causal Discovery Sujai Hiremath Promit Ghosal Kyra Gan CML 16 0 0 15 Oct 2024
Sortability of Time Series Data Christopher Lohse Jonas Wahl CML 24 1 0 18 Jul 2024
Standardizing Structural Causal Models Weronika Ormaniec Scott Sussex Lars Lorch Bernhard Schölkopf Andreas Krause CML 33 5 0 17 Jun 2024
Better Simulations for Validating Causal Discovery with the DAG-Adaptation of the Onion Method Bryan Andrews Erich Kummerfeld CML 38 4 0 21 May 2024
From Probability to Counterfactuals: the Increasing Complexity of Satisfiability in Pearl's Causal Hierarchy Julian Dörfler Benito van der Zander Markus Bläser Maciej Liskiewicz LRM 13 1 0 12 May 2024
Adjustment Identification Distance: A gadjid for Causal Structure Learning Leonard Henckel Theo Würtzen Sebastian Weichwald CML 8 6 0 13 Feb 2024
Shortcuts for causal discovery of nonlinear models by score matching Francesco Montagna Nicoletta Noceti Lorenzo Rosasco Francesco Locatello CML 45 3 0 22 Oct 2023
Invariant Ancestry Search Phillip B. Mogensen Nikolaj Thams J. Peters 11 5 0 02 Feb 2022