Double/Debiased Machine Learning for Dynamic Treatment Effects via g-Estimation

17 February 2020

Papers citing "Double/Debiased Machine Learning for Dynamic Treatment Effects via g-Estimation"

10 / 10 papers shown

Title
Model-agnostic meta-learners for estimating heterogeneous treatment effects over time Dennis Frauen Konstantin Hess Stefan Feuerriegel 42 7 0 07 Jul 2024
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
Inference on Optimal Dynamic Policies via Softmax Approximation Qizhao Chen Morgane Austern Vasilis Syrgkanis OffRL 46 1 0 08 Mar 2023
Synthetic Blip Effects: Generalizing Synthetic Controls for the Dynamic Treatment Regime Anish Agarwal Vasilis Syrgkanis CML 33 3 0 20 Oct 2022
Average Adjusted Association: Efficient Estimation with High Dimensional Confounders S. Jun S. Lee 43 1 0 27 May 2022
Sequential Kernel Embedding for Mediated and Time-Varying Dose Response Curves Rahul Singh Liyuan Xu Arthur Gretton 43 3 0 06 Nov 2021
Robust Orthogonal Machine Learning of Treatment Effects Yiyan Huang Cheuk Hang Leung Qi Wu Xing Yan OOD CML 21 0 0 22 Mar 2021
Estimating the Long-Term Effects of Novel Treatments Keith Battocchi E. Dillon Maggie Hei Greg Lewis M. Oprescu Vasilis Syrgkanis CML 24 10 0 15 Mar 2021
Evaluating (weighted) dynamic treatment effects by double machine learning Hugo Bodory M. Huber Lukávs Lafférs CML 27 43 0 01 Dec 2020
Double Reinforcement Learning for Efficient Off-Policy Evaluation in Markov Decision Processes Nathan Kallus Masatoshi Uehara OffRL 52 183 0 22 Aug 2019