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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

Neural Information Processing Systems (NeurIPS), 2020
17 February 2020
Greg Lewis
Vasilis Syrgkanis
    CML
ArXiv (abs)PDFHTML

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

20 / 20 papers shown
DeepBlip: Estimating Conditional Average Treatment Effects Over Time
DeepBlip: Estimating Conditional Average Treatment Effects Over Time
Haorui Ma
Dennis Frauen
Stefan Feuerriegel
BDL
249
3
0
18 Nov 2025
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
504
16
0
07 Jul 2024
Causal Customer Churn Analysis with Low-rank Tensor Block Hazard Model
Causal Customer Churn Analysis with Low-rank Tensor Block Hazard ModelInternational Conference on Machine Learning (ICML), 2024
Chenyin Gao
Zhiming Zhang
Shu Yang
262
4
0
18 May 2024
Efficient and Sharp Off-Policy Evaluation in Robust Markov Decision
  Processes
Efficient and Sharp Off-Policy Evaluation in Robust Markov Decision Processes
Andrew Bennett
Nathan Kallus
Miruna Oprescu
Wen Sun
Kaiwen Wang
AAMLOffRL
308
4
0
29 Mar 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
536
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 ModerationBiometrics (Biometrics), 2023
Jieru Shi
Walter Dempsey
CML
283
7
0
28 Jun 2023
Inference on Optimal Dynamic Policies via Softmax Approximation
Inference on Optimal Dynamic Policies via Softmax Approximation
Qizhao Chen
Morgane Austern
Vasilis Syrgkanis
OffRL
429
5
0
08 Mar 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
365
7
0
05 Mar 2023
Robust Fitted-Q-Evaluation and Iteration under Sequentially Exogenous Unobserved Confounders
Robust Fitted-Q-Evaluation and Iteration under Sequentially Exogenous Unobserved Confounders
David Bruns-Smith
Angela Zhou
OffRL
694
14
0
01 Feb 2023
Synthetic Blips: Generalizing Synthetic Controls for Dynamic Treatment Effects
Synthetic Blips: Generalizing Synthetic Controls for Dynamic Treatment Effects
Anish Agarwal
Sukjin Han
Dwaipayan Saha
Vasilis Syrgkanis
Haeyeon Yoon
CML
300
3
0
20 Oct 2022
Coordinated Double Machine Learning
Coordinated Double Machine LearningInternational Conference on Machine Learning (ICML), 2022
Nitai Fingerhut
Matteo Sesia
Yaniv Romano
198
3
0
02 Jun 2022
Average Adjusted Association: Efficient Estimation with High Dimensional
  Confounders
Average Adjusted Association: Efficient Estimation with High Dimensional ConfoundersInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022
S. Jun
S. Lee
366
2
0
27 May 2022
Structural Nested Mean Models Under Parallel Trends Assumptions
Structural Nested Mean Models Under Parallel Trends Assumptions
Zach Shahn
O. Dukes
Alan Yang
E. T. Tchetgen
Jamie Robins
184
10
0
21 Apr 2022
Automatic Debiased Machine Learning for Dynamic Treatment Effects and
  General Nested Functionals
Automatic Debiased Machine Learning for Dynamic Treatment Effects and General Nested Functionals
Victor Chernozhukov
Whitney Newey
Rahul Singh
Vasilis Syrgkanis
CMLAI4CE
395
19
0
25 Mar 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
514
5
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
190
1
0
22 Mar 2021
Estimating the Long-Term Effects of Novel Treatments
Estimating the Long-Term Effects of Novel TreatmentsNeural Information Processing Systems (NeurIPS), 2021
Keith Battocchi
E. Dillon
Maggie Hei
Greg Lewis
Miruna Oprescu
Vasilis Syrgkanis
CML
294
12
0
15 Mar 2021
Regularizing Double Machine Learning in Partially Linear Endogenous
  Models
Regularizing Double Machine Learning in Partially Linear Endogenous ModelsElectronic Journal of Statistics (EJS), 2021
Corinne Emmenegger
Peter Buhlmann
291
11
0
29 Jan 2021
Distributed Double Machine Learning with a Serverless Architecture
Distributed Double Machine Learning with a Serverless ArchitectureInternational Conference on Performance Engineering (ICPE), 2021
Malte S. Kurz
327
19
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
376
95
0
01 Dec 2020
1
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