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Combining Observational and Randomized Data for Estimating Heterogeneous
  Treatment Effects

Combining Observational and Randomized Data for Estimating Heterogeneous Treatment Effects

25 February 2022
Tobias Hatt
Jeroen Berrevoets
Alicia Curth
Stefan Feuerriegel
M. Schaar
    CML
ArXivPDFHTML

Papers citing "Combining Observational and Randomized Data for Estimating Heterogeneous Treatment Effects"

5 / 5 papers shown
Title
Long-term Causal Inference via Modeling Sequential Latent Confounding
Long-term Causal Inference via Modeling Sequential Latent Confounding
Weilin Chen
Ruichu Cai
Yuguang Yan
Z. Hao
José Miguel Hernández-Lobato
CML
76
1
0
26 Feb 2025
Detecting hidden confounding in observational data using multiple
  environments
Detecting hidden confounding in observational data using multiple environments
R. Karlsson
Jesse H. Krijthe
CML
OOD
40
12
0
27 May 2022
Deconfounding Temporal Autoencoder: Estimating Treatment Effects over
  Time Using Noisy Proxies
Deconfounding Temporal Autoencoder: Estimating Treatment Effects over Time Using Noisy Proxies
Milan Kuzmanovic
Tobias Hatt
Stefan Feuerriegel
CML
47
21
0
06 Dec 2021
Estimating Average Treatment Effects via Orthogonal Regularization
Estimating Average Treatment Effects via Orthogonal Regularization
Tobias Hatt
Stefan Feuerriegel
CML
153
35
0
21 Jan 2021
Learning Representations for Counterfactual Inference
Learning Representations for Counterfactual Inference
Fredrik D. Johansson
Uri Shalit
David Sontag
CML
OOD
BDL
223
719
0
12 May 2016
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