Causal machine learning for predicting treatment outcomes

Causal machine learning for predicting treatment outcomes

11 October 2024

Stefan Feuerriegel

Valentyn Melnychuk

Konstantin Hess

Isaac S. Kohane

Mihaela van der Schaar

Papers citing "Causal machine learning for predicting treatment outcomes"

9 / 9 papers shown

Title
Integrating Probabilistic Trees and Causal Networks for Clinical and Epidemiological Data Sheresh Zahoor Pietro Liò G. Dias Mohammed Hasanuzzaman 44 0 0 28 Jan 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
Learning Representations of Instruments for Partial Identification of Treatment Effects J. Schweisthal Dennis Frauen Maresa Schröder Konstantin Hess Niki Kilbertus Stefan Feuerriegel CML 34 1 0 11 Oct 2024
Stabilized Neural Prediction of Potential Outcomes in Continuous Time Konstantin Hess Stefan Feuerriegel 48 0 0 04 Oct 2024
Model-agnostic meta-learners for estimating heterogeneous treatment effects over time Dennis Frauen Konstantin Hess Stefan Feuerriegel 35 5 0 07 Jul 2024
Deriving Causal Order from Single-Variable Interventions: Guarantees & Algorithm Mathieu Chevalley Patrick Schwab Arash Mehrjou 46 1 0 28 May 2024
Smoke and Mirrors in Causal Downstream Tasks Riccardo Cadei Lukas Lindorfer Sylvia Cremer Cordelia Schmid Francesco Locatello CML 38 3 0 27 May 2024
A Neural Framework for Generalized Causal Sensitivity Analysis Dennis Frauen F. Imrie Alicia Curth Valentyn Melnychuk Stefan Feuerriegel M. Schaar CML 31 10 0 27 Nov 2023
Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation Valentyn Melnychuk Dennis Frauen Stefan Feuerriegel CML 32 9 0 19 Nov 2023