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

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

25 October 2023
Jacqueline R. M. A. Maasch
Weishen Pan
Shantanu Gupta
Volodymyr Kuleshov
Kyra Gan
Fei Wang
ArXivPDFHTML

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

6 / 6 papers shown
Title
SNAP: Sequential Non-Ancestor Pruning for Targeted Causal Effect Estimation With an Unknown Graph
SNAP: Sequential Non-Ancestor Pruning for Targeted Causal Effect Estimation With an Unknown Graph
Mátyás Schubert
Tom Claassen
Sara Magliacane
CML
71
0
0
11 Feb 2025
LoSAM: Local Search in Additive Noise Models with Mixed Mechanisms and General Noise for Global Causal Discovery
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
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
35
0
0
23 May 2024
Local Causal Discovery with Linear non-Gaussian Cyclic Models
Local Causal Discovery with Linear non-Gaussian Cyclic Models
Haoyue Dai
Ignavier Ng
Yujia Zheng
Zhengqing Gao
Kun Zhang
27
3
0
21 Mar 2024
Shortcuts for causal discovery of nonlinear models by score matching
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
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
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