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DoubleMLDeep: Estimation of Causal Effects with Multimodal Data

DoubleMLDeep: Estimation of Causal Effects with Multimodal Data

1 February 2024
Jan Rabenseifner
Jan Teichert-Kluge
Philipp Bach
Victor Chernozhukov
Martin Spindler
Suhas Vijaykumar
    BDLCML
ArXiv (abs)PDFHTML

Papers citing "DoubleMLDeep: Estimation of Causal Effects with Multimodal Data"

5 / 5 papers shown
Title
Personalized Treatment Effect Estimation from Unstructured Data
Personalized Treatment Effect Estimation from Unstructured Data
Henri Arno
Thomas Demeester
CML
110
0
0
28 Jul 2025
GenAI-Powered Inference
GenAI-Powered Inference
Kosuke Imai
Kentaro Nakamura
122
2
0
05 Jul 2025
Adjustment for Confounding using Pre-Trained Representations
Adjustment for Confounding using Pre-Trained Representations
Rickmer Schulte
David Rügamer
Thomas Nagler
CMLBDL
174
1
0
17 Jun 2025
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
424
12
0
01 Oct 2024
Towards Representation Learning for Weighting Problems in Design-Based
  Causal Inference
Towards Representation Learning for Weighting Problems in Design-Based Causal InferenceConference on Uncertainty in Artificial Intelligence (UAI), 2024
Oscar Clivio
Avi Feller
Chris Holmes
CMLOOD
211
3
0
24 Sep 2024
1