Local Discovery by Partitioning: Polynomial-Time Causal Discovery Around Exposure-Outcome Pairs

25 October 2023

Papers citing "Local Discovery by Partitioning: Polynomial-Time Causal Discovery Around Exposure-Outcome Pairs"

7 / 7 papers shown

Title
SNAP: Sequential Non-Ancestor Pruning for Targeted Causal Effect Estimation With an Unknown Graph Mátyás Schubert Tom Claassen Sara Magliacane CML 76 0 0 11 Feb 2025
Local Learning for Covariate Selection in Nonparametric Causal Effect Estimation with Latent Variables Zheng Li Feng Xie Xichen Guo Yan Zeng Hao Zhang Zhi Geng CML 84 0 0 25 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 32 0 0 15 Oct 2024
Local Causal Discovery for Structural Evidence of Direct Discrimination Jacqueline R. M. A. Maasch Kyra Gan Violet Chen Agni Orfanoudaki Nil-Jana Akpinar Fei Wang 43 1 0 23 May 2024
Local Causal Discovery with Linear non-Gaussian Cyclic Models Haoyue Dai Ignavier Ng Yujia Zheng Zhengqing Gao Kun Zhang 29 3 0 21 Mar 2024
Shortcuts for causal discovery of nonlinear models by score matching Francesco Montagna Nicoletta Noceti Lorenzo Rosasco Francesco Locatello CML 53 3 0 22 Oct 2023
Feature selection in stratification estimators of causal effects: lessons from potential outcomes, causal diagrams, and structural equations P. R. Hahn Andrew Herren CML 21 3 0 23 Sep 2022