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Causal Machine Learning for Cost-Effective Allocation of Development Aid

Causal Machine Learning for Cost-Effective Allocation of Development Aid

30 January 2024
Milan Kuzmanovic
Dennis Frauen
Tobias Hatt
Stefan Feuerriegel
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Papers citing "Causal Machine Learning for Cost-Effective Allocation of Development Aid"

8 / 8 papers shown
Title
Orthogonal Representation Learning for Estimating Causal Quantities
Orthogonal Representation Learning for Estimating Causal Quantities
Valentyn Melnychuk
Dennis Frauen
J. Schweisthal
Stefan Feuerriegel
CML
OOD
BDL
53
2
0
06 Feb 2025
Quantifying Aleatoric Uncertainty of the Treatment Effect: A Novel Orthogonal Learner
Quantifying Aleatoric Uncertainty of the Treatment Effect: A Novel Orthogonal Learner
Valentyn Melnychuk
Stefan Feuerriegel
M. Schaar
CML
54
2
0
05 Nov 2024
DiffPO: A causal diffusion model for learning distributions of potential
  outcomes
DiffPO: A causal diffusion model for learning distributions of potential outcomes
Yuchen Ma
Valentyn Melnychuk
J. Schweisthal
Stefan Feuerriegel
DiffM
38
1
0
11 Oct 2024
Causal machine learning for predicting treatment outcomes
Causal machine learning for predicting treatment outcomes
Stefan Feuerriegel
Dennis Frauen
Valentyn Melnychuk
J. Schweisthal
Konstantin Hess
Alicia Curth
Stefan Bauer
Niki Kilbertus
Isaac S. Kohane
Mihaela van der Schaar
CML
14
87
0
11 Oct 2024
Meta-Learners for Partially-Identified Treatment Effects Across Multiple
  Environments
Meta-Learners for Partially-Identified Treatment Effects Across Multiple Environments
J. Schweisthal
Dennis Frauen
M. Schaar
Stefan Feuerriegel
CML
32
3
0
04 Jun 2024
Enhancing the Performance of Neural Networks Through Causal Discovery
  and Integration of Domain Knowledge
Enhancing the Performance of Neural Networks Through Causal Discovery and Integration of Domain Knowledge
Xiaoge Zhang
Xiao-Lin Wang
Fenglei Fan
Yiu-ming Cheung
Indranil Bose
18
1
0
29 Nov 2023
Estimating Average Treatment Effects via Orthogonal Regularization
Estimating Average Treatment Effects via Orthogonal Regularization
Tobias Hatt
Stefan Feuerriegel
CML
148
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
210
718
0
12 May 2016
1