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Double/Debiased Machine Learning for Dynamic Treatment Effects via
  g-Estimation
v1v2v3v4v5 (latest)

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

17 February 2020
Greg Lewis
Vasilis Syrgkanis
    CML
ArXiv (abs)PDFHTML

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

13 / 13 papers shown
Title
Model-agnostic meta-learners for estimating heterogeneous treatment effects over time
Model-agnostic meta-learners for estimating heterogeneous treatment effects over time
Dennis Frauen
Konstantin Hess
Stefan Feuerriegel
158
7
0
07 Jul 2024
Causal Dynamic Variational Autoencoder for Counterfactual Regression in Longitudinal Data
Causal Dynamic Variational Autoencoder for Counterfactual Regression in Longitudinal Data
Mouad El Bouchattaoui
Myriam Tami
Benoit Lepetit
P. Cournède
CMLOOD
216
2
0
16 Oct 2023
A Meta-Learning Method for Estimation of Causal Excursion Effects to Assess Time-Varying Moderation
A Meta-Learning Method for Estimation of Causal Excursion Effects to Assess Time-Varying Moderation
Jieru Shi
Walter Dempsey
CML
49
4
0
28 Jun 2023
Semi-parametric inference based on adaptively collected data
Semi-parametric inference based on adaptively collected data
Licong Lin
K. Khamaru
Martin J. Wainwright
OffRL
82
7
0
05 Mar 2023
Synthetic Blip Effects: Generalizing Synthetic Controls for the Dynamic
  Treatment Regime
Synthetic Blip Effects: Generalizing Synthetic Controls for the Dynamic Treatment Regime
Anish Agarwal
Vasilis Syrgkanis
CML
59
3
0
20 Oct 2022
Average Adjusted Association: Efficient Estimation with High Dimensional
  Confounders
Average Adjusted Association: Efficient Estimation with High Dimensional Confounders
S. Jun
S. Lee
79
1
0
27 May 2022
Structural Nested Mean Models Under Parallel Trends Assumptions
Structural Nested Mean Models Under Parallel Trends Assumptions
Zach Shahn
O. Dukes
David Richardson
E. T. Tchetgen
Jamie Robins
28
9
0
21 Apr 2022
Sequential Kernel Embedding for Mediated and Time-Varying Dose Response Curves
Sequential Kernel Embedding for Mediated and Time-Varying Dose Response Curves
Rahul Singh
Liyuan Xu
Arthur Gretton
126
3
0
06 Nov 2021
Robust Orthogonal Machine Learning of Treatment Effects
Robust Orthogonal Machine Learning of Treatment Effects
Yiyan Huang
Cheuk Hang Leung
Qi Wu
Xing Yan
OODCML
57
0
0
22 Mar 2021
Estimating the Long-Term Effects of Novel Treatments
Estimating the Long-Term Effects of Novel Treatments
Keith Battocchi
E. Dillon
Maggie Hei
Greg Lewis
Miruna Oprescu
Vasilis Syrgkanis
CML
108
10
0
15 Mar 2021
Regularizing Double Machine Learning in Partially Linear Endogenous
  Models
Regularizing Double Machine Learning in Partially Linear Endogenous Models
Corinne Emmenegger
Peter Buhlmann
28
10
0
29 Jan 2021
Distributed Double Machine Learning with a Serverless Architecture
Distributed Double Machine Learning with a Serverless Architecture
Malte S. Kurz
55
15
0
11 Jan 2021
Evaluating (weighted) dynamic treatment effects by double machine
  learning
Evaluating (weighted) dynamic treatment effects by double machine learning
Hugo Bodory
M. Huber
Lukávs Lafférs
CML
78
53
0
01 Dec 2020
1