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Model-agnostic meta-learners for estimating heterogeneous treatment effects over time

7 July 2024

Papers citing "Model-agnostic meta-learners for estimating heterogeneous treatment effects over time"

27 / 27 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 57 0 0 19 May 2025
Treatment Effect Estimation for Optimal Decision-Making Dennis Frauen Valentyn Melnychuk Jonas Schweisthal Mihaela van der Schaar Stefan Feuerriegel CML 53 0 0 19 May 2025
Differentially Private Learners for Heterogeneous Treatment Effects Maresa Schröder Valentyn Melnychuk Stefan Feuerriegel CML 141 2 0 05 Mar 2025
Orthogonal Representation Learning for Estimating Causal Quantities Valentyn Melnychuk Dennis Frauen Jonas Schweisthal Stefan Feuerriegel CML OOD BDL 126 2 0 06 Feb 2025
Causal machine learning for predicting treatment outcomes Stefan Feuerriegel Dennis Frauen Valentyn Melnychuk Jonas Schweisthal Konstantin Hess Alicia Curth Stefan Bauer Niki Kilbertus Isaac S. Kohane Mihaela van der Schaar CML 176 111 0 11 Oct 2024
Stabilized Neural Prediction of Potential Outcomes in Continuous Time Konstantin Hess Stefan Feuerriegel 152 0 0 04 Oct 2024
From Text to Treatment Effects: A Meta-Learning Approach to Handling Text-Based Confounding Henri Arno Paloma Rabaey Thomas Demeester CML 193 0 0 23 Sep 2024
G-Transformer for Conditional Average Potential Outcome Estimation over Time Konstantin Hess Dennis Frauen Valentyn Melnychuk Stefan Feuerriegel 101 2 0 31 May 2024
Bayesian Neural Controlled Differential Equations for Treatment Effect Estimation Konstantin Hess Valentyn Melnychuk Dennis Frauen Stefan Feuerriegel 62 16 0 26 Oct 2023
The Connection Between R-Learning and Inverse-Variance Weighting for Estimation of Heterogeneous Treatment Effects Aaron Fisher CML 44 1 0 19 Jul 2023
Accounting For Informative Sampling When Learning to Forecast Treatment Outcomes Over Time Toon Vanderschueren Alicia Curth Wouter Verbeke M. Schaar 65 14 0 07 Jun 2023
Estimating individual treatment effects under unobserved confounding using binary instruments Dennis Frauen Stefan Feuerriegel CML 76 20 0 17 Aug 2022
Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations Nabeel Seedat F. Imrie Alexis Bellot Zhaozhi Qian M. Schaar OOD CML 52 52 0 16 Jun 2022
Comparison of meta-learners for estimating multi-valued treatment heterogeneous effects Naoufal Acharki Ramiro Lugo A. Bertoncello Josselin Garnier CML 53 13 0 29 May 2022
Causal Transformer for Estimating Counterfactual Outcomes Valentyn Melnychuk Dennis Frauen Stefan Feuerriegel CML 93 99 0 14 Apr 2022
Estimating average causal effects from patient trajectories Dennis Frauen Tobias Hatt Valentyn Melnychuk Stefan Feuerriegel OOD CML 85 25 0 02 Mar 2022
Minimax rates for heterogeneous causal effect estimation Edward H. Kennedy Sivaraman Balakrishnan James M. Robins Larry A. Wasserman CML 89 31 0 02 Mar 2022
Nonparametric Estimation of Heterogeneous Treatment Effects: From Theory to Learning Algorithms Alicia Curth M. Schaar CML 173 149 0 26 Jan 2021
Counterfactual Predictions under Runtime Confounding Amanda Coston Edward H. Kennedy Alexandra Chouldechova OOD OffRL 55 28 0 30 Jun 2020
Towards optimal doubly robust estimation of heterogeneous causal effects Edward H. Kennedy CML 191 327 0 29 Apr 2020
Double/Debiased Machine Learning for Dynamic Treatment Effects via g-Estimation Greg Lewis Vasilis Syrgkanis CML 68 35 0 17 Feb 2020
Estimating Counterfactual Treatment Outcomes over Time Through Adversarially Balanced Representations Ioana Bica Ahmed Alaa James Jordon M. Schaar BDL CML 63 186 0 10 Feb 2020
Orthogonal Statistical Learning Dylan J. Foster Vasilis Syrgkanis 126 173 0 25 Jan 2019
Quasi-Oracle Estimation of Heterogeneous Treatment Effects Xinkun Nie Stefan Wager CML 174 655 0 13 Dec 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 805 132,725 0 12 Jun 2017
Meta-learners for Estimating Heterogeneous Treatment Effects using Machine Learning Sören R. Künzel Jasjeet Sekhon Peter J. Bickel Bin Yu CML 169 930 0 12 Jun 2017
Estimation and Inference of Heterogeneous Treatment Effects using Random Forests Stefan Wager Susan Athey SyDa CML 382 2,496 0 14 Oct 2015