A comparison of methods for model selection when estimating individual
treatment effects

A comparison of methods for model selection when estimating individual treatment effects

14 April 2018

Alejandro Schuler

Robert Tibshirani

Papers citing "A comparison of methods for model selection when estimating individual treatment effects"

12 / 12 papers shown

Title
Causal Q-Aggregation for CATE Model Selection Hui Lan Vasilis Syrgkanis CML 50 4 0 25 Oct 2023
Causal Dynamic Variational Autoencoder for Counterfactual Regression in Longitudinal Data Mouad El Bouchattaoui Myriam Tami Benoit Lepetit P. Cournède CML OOD 76 2 0 16 Oct 2023
How to select predictive models for causal inference? M. Doutreligne Gaël Varoquaux ELM CML 29 2 0 01 Feb 2023
Data-Driven Estimation of Heterogeneous Treatment Effects Christopher Tran Keith Burghardt Kristina Lerman Elena Zheleva CML 32 1 0 16 Jan 2023
Efficient Heterogeneous Treatment Effect Estimation With Multiple Experiments and Multiple Outcomes Leon Yao Caroline Lo Israel Nir S. Tan Ariel Evnine Adam Lerer A. Peysakhovich CML 29 6 0 10 Jun 2022
Meta-Analysis of Randomized Experiments with Applications to Heavy-Tailed Response Data Nilesh Tripuraneni Dhruv Madeka Dean Phillips Foster Dominique C. Perrault-Joncas Michael I. Jordan 26 5 0 14 Dec 2021
A pragmatic approach to estimating average treatment effects from EHR data: the effect of prone positioning on mechanically ventilated COVID-19 patients A. Izdebski P. Thoral R. Lalisang Dean McHugh D. Gommers ... Rutger van Raalte M. V. Tellingen Niels C. Gritters van den Oever Paul Elbers Giovanni Cina CML 16 0 0 14 Sep 2021
DoWhy: Addressing Challenges in Expressing and Validating Causal Assumptions Amit Sharma Vasilis Syrgkanis Cheng Zhang Emre Kıcıman 26 26 0 27 Aug 2021
Causal Decision Making and Causal Effect Estimation Are Not the Same... and Why It Matters Carlos Fernández-Loría F. Provost CML 19 43 0 08 Apr 2021
Estimating Individual Treatment Effects using Non-Parametric Regression Models: a Review A. Caron G. Baio I. Manolopoulou CML 33 52 0 14 Sep 2020
Learning Counterfactual Representations for Estimating Individual Dose-Response Curves Patrick Schwab Lorenz Linhardt Stefan Bauer J. M. Buhmann W. Karlen CML OOD 34 132 0 03 Feb 2019
Perfect Match: A Simple Method for Learning Representations For Counterfactual Inference With Neural Networks Patrick Schwab Lorenz Linhardt W. Karlen CML BDL 21 111 0 01 Oct 2018