Counterfactual Predictions under Runtime Confounding

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Counterfactual Predictions under Runtime Confounding

30 June 2020

Edward H. Kennedy

Alexandra Chouldechova

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Papers citing "Counterfactual Predictions under Runtime Confounding"

17 / 17 papers shown

Title
Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data Dennis Frauen Maresa Schröder Konstantin Hess Stefan Feuerriegel CML 71 0 0 19 May 2025
Semiparametric Counterfactual Regression Kwangho Kim OffRL 92 0 0 03 Apr 2025
GST-UNet: Spatiotemporal Causal Inference with Time-Varying Confounders Miruna Oprescu David K. Park Xihaier Luo Shinjae Yoo Nathan Kallus AI4TS CML 112 0 0 07 Feb 2025
Orthogonal Representation Learning for Estimating Causal Quantities Valentyn Melnychuk Dennis Frauen Jonas Schweisthal Stefan Feuerriegel CML OOD BDL 128 2 0 06 Feb 2025
Model-agnostic meta-learners for estimating heterogeneous treatment effects over time Dennis Frauen Konstantin Hess Stefan Feuerriegel 156 7 0 07 Jul 2024
G-Transformer for Conditional Average Potential Outcome Estimation over Time Konstantin Hess Dennis Frauen Valentyn Melnychuk Stefan Feuerriegel 113 2 0 31 May 2024
Evaluating and Correcting Performative Effects of Decision Support Systems via Causal Domain Shift Philip A. Boeken O. Zoeter Joris M. Mooij 123 1 0 01 Mar 2024
Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation Valentyn Melnychuk Dennis Frauen Stefan Feuerriegel CML 79 10 0 19 Nov 2023
Counterfactual Prediction Under Selective Confounding Sohaib Kiani Jared Barton Jon Sushinsky Lynda Heimbach Bo Luo CML 100 1 0 21 Oct 2023
Variational Counterfactual Prediction under Runtime Domain Corruption Hechuan Wen Tong Chen L. K. Chai S. Sadiq Junbin Gao Hongzhi Yin OOD 102 2 0 23 Jun 2023
Fair and Robust Estimation of Heterogeneous Treatment Effects for Policy Learning K. Kim J. Zubizarreta 82 7 0 06 Jun 2023
Correcting for Selection Bias and Missing Response in Regression using Privileged Information Philip A. Boeken Noud de Kroon Mathijs de Jong Joris M. Mooij O. Zoeter 96 4 0 29 Mar 2023
Counterfactual Prediction Under Outcome Measurement Error Luke M. Guerdan Amanda Coston Kenneth Holstein Zhiwei Steven Wu 79 15 0 22 Feb 2023
Ground(less) Truth: A Causal Framework for Proxy Labels in Human-Algorithm Decision-Making Luke M. Guerdan Amanda Coston Zhiwei Steven Wu Kenneth Holstein CML 80 29 0 13 Feb 2023
Doubly Robust Counterfactual Classification K. Kim Edward H. Kennedy J. Zubizarreta OffRL 57 5 0 15 Jan 2023
A Validity Perspective on Evaluating the Justified Use of Data-driven Decision-making Algorithms Amanda Coston Anna Kawakami Haiyi Zhu Kenneth Holstein Hoda Heidari 88 35 0 30 Jun 2022
On Inductive Biases for Heterogeneous Treatment Effect Estimation Alicia Curth M. Schaar CML 193 84 0 07 Jun 2021