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Conceptualizing Treatment Leakage in Text-based Causal Inference

Conceptualizing Treatment Leakage in Text-based Causal Inference

1 May 2022
Adel Daoud
Connor Jerzak
Richard Johansson
    CML
ArXiv (abs)PDFHTML

Papers citing "Conceptualizing Treatment Leakage in Text-based Causal Inference"

5 / 5 papers shown
Title
Causal Representation Learning with Generative Artificial Intelligence: Application to Texts as Treatments
Causal Representation Learning with Generative Artificial Intelligence: Application to Texts as Treatments
Kosuke Imai
Kentaro Nakamura
CML
106
6
0
01 Oct 2024
A Scoping Review of Earth Observation and Machine Learning for Causal Inference: Implications for the Geography of Poverty
A Scoping Review of Earth Observation and Machine Learning for Causal Inference: Implications for the Geography of Poverty
Kazuki Sakamoto
Connor Jerzak
Adel Daoud
101
3
0
30 May 2024
Can Large Language Models (or Humans) Disentangle Text?
Can Large Language Models (or Humans) Disentangle Text?
Nicolas Audinet de Pieuchon
Adel Daoud
Connor Jerzak
Moa Johansson
Richard Johansson
76
0
0
25 Mar 2024
What Happens to a Dataset Transformed by a Projection-based Concept
  Removal Method?
What Happens to a Dataset Transformed by a Projection-based Concept Removal Method?
Richard Johansson
58
0
0
24 Mar 2024
Integrating Earth Observation Data into Causal Inference: Challenges and
  Opportunities
Integrating Earth Observation Data into Causal Inference: Challenges and Opportunities
Connor Jerzak
Fredrik D. Johansson
Adel Daoud
CML
72
12
0
30 Jan 2023
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