Causal Machine Learning for Cost-Effective Allocation of Development Aid

30 January 2024

Papers citing "Causal Machine Learning for Cost-Effective Allocation of Development Aid"

8 / 8 papers shown

Title
Orthogonal Representation Learning for Estimating Causal Quantities Valentyn Melnychuk Dennis Frauen J. Schweisthal Stefan Feuerriegel CML OOD BDL 51 2 0 06 Feb 2025
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 Yuchen Ma Valentyn Melnychuk J. Schweisthal Stefan Feuerriegel DiffM 38 1 0 11 Oct 2024
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 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 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 Tobias Hatt Stefan Feuerriegel CML 148 35 0 21 Jan 2021
Learning Representations for Counterfactual Inference Fredrik D. Johansson Uri Shalit David Sontag CML OOD BDL 210 718 0 12 May 2016