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2112.03013
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Deconfounding Temporal Autoencoder: Estimating Treatment Effects over Time Using Noisy Proxies
6 December 2021
Milan Kuzmanovic
Tobias Hatt
Stefan Feuerriegel
CML
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Papers citing
"Deconfounding Temporal Autoencoder: Estimating Treatment Effects over Time Using Noisy Proxies"
7 / 7 papers shown
Title
Stabilized Neural Prediction of Potential Outcomes in Continuous Time
Konstantin Hess
Stefan Feuerriegel
46
0
0
04 Oct 2024
Estimating Treatment Effects in Continuous Time with Hidden Confounders
Defu Cao
James Enouen
Y. Liu
CML
35
2
0
19 Feb 2023
Learning Optimal Dynamic Treatment Regimes Using Causal Tree Methods in Medicine
Theresa Blümlein
Joel Persson
Stefan Feuerriegel
CML
27
11
0
14 Apr 2022
When Physics Meets Machine Learning: A Survey of Physics-Informed Machine Learning
Chuizheng Meng
Sungyong Seo
Defu Cao
Sam Griesemer
Yan Liu
PINN
AI4CE
39
55
0
31 Mar 2022
Combining Observational and Randomized Data for Estimating Heterogeneous Treatment Effects
Tobias Hatt
Jeroen Berrevoets
Alicia Curth
Stefan Feuerriegel
M. Schaar
CML
44
29
0
25 Feb 2022
Estimating Average Treatment Effects via Orthogonal Regularization
Tobias Hatt
Stefan Feuerriegel
CML
153
35
0
21 Jan 2021
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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