Image de couverture de livre

Doubly Robust Fusion of Many Treatments for Policy Learning

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Zhu, Ke, Chu, Jianing, Lipkovich, Ilya, Ye, Wenyu, Yang, Shu
Format:	Preprint
Publié:	2025
Sujets:	Methodology Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Double Machine Learning Methods for Estimating Average Treatment Effects: A Comparative Study
par: Tan, Xiaoqing, et autres
Publié: (2022)

Doubly protected estimation for survival outcomes utilizing external controls for randomized clinical trials
par: Gao, Chenyin, et autres
Publié: (2024)

Doubly Robust Proximal Causal Learning for Continuous Treatments
par: Wu, Yong, et autres
Publié: (2023)

Doubly Robust Interval Estimation for Optimal Policy Evaluation in Online Learning
par: Shen, Ye, et autres
Publié: (2021)

A unified Bayesian framework for interval hypothesis testing in clinical trials
par: Chakraborty, Abhisek, et autres
Publié: (2024)

Overview and practical recommendations on using Shapley Values for identifying predictive biomarkers via CATE modeling
par: Svensson, David, et autres
Publié: (2025)

A Doubly Robust Machine Learning Approach for Disentangling Treatment Effect Heterogeneity with Functional Outcomes
par: Salmaso, Filippo, et autres
Publié: (2026)

Beyond Differences: Doubly Robust Meta-Learners for Ratio-Based Treatment Effects
par: Fuchs, Michael, et autres
Publié: (2026)

Structure-agnostic Optimality of Doubly Robust Learning for Treatment Effect Estimation
par: Jin, Jikai, et autres
Publié: (2024)

Conditional Distributional Treatment Effects: Doubly Robust Estimation and Testing
par: Jain, Saksham, et autres
Publié: (2026)

Improving randomized controlled trial analysis via data-adaptive borrowing
par: Gao, Chenyin, et autres
Publié: (2023)

Doubly Robust Conditional Independence Testing with Generative Neural Networks
par: Zhang, Yi, et autres
Publié: (2024)

DR-VIDAL -- Doubly Robust Variational Information-theoretic Deep Adversarial Learning for Counterfactual Prediction and Treatment Effect Estimation on Real World Data
par: Ghosh, Shantanu, et autres
Publié: (2023)

A Tutorial on Doubly Robust Learning for Causal Inference
par: Hlynsson, Hlynur Davíð
Publié: (2024)

Doubly Robust Conformalized Survival Analysis with Right-Censored Data
par: Sesia, Matteo, et autres
Publié: (2024)

Bayesian Semiparametric Causal Inference: Targeted Doubly Robust Estimation of Treatment Effects
par: Sert, Gözde, et autres
Publié: (2025)

Doubly Robust Inference in Causal Latent Factor Models
par: Abadie, Alberto, et autres
Publié: (2024)

Evaluating and Learning Optimal Dynamic Treatment Regimes under Truncation by Death
par: Park, Sihyung, et autres
Publié: (2025)

Automatic Doubly Robust Forests
par: Chen, Zhaomeng, et autres
Publié: (2024)

Doubly-Regressing Approach for Subgroup Fairness
par: Kim, Kunwoong, et autres
Publié: (2025)

Penalized Empirical Likelihood for Doubly Robust Causal Inference under Contamination in High Dimensions
par: Lee, Byeonghee, et autres
Publié: (2025)

Benchmarking Estimators for Natural Experiments: A Novel Dataset and a Doubly Robust Algorithm
par: Witter, R. Teal, et autres
Publié: (2024)

Shrinkage-Based Regressions with Many Related Treatments
par: Dilber, Enes, et autres
Publié: (2025)

Direct Doubly Robust Estimation of Conditional Quantile Contrasts
par: Givens, Josh, et autres
Publié: (2026)

Estimating optimal interpretable individualized treatment regimes from a classification perspective using adaptive LASSO
par: Zhang, Yunshu, et autres
Publié: (2026)

2D Stability Selection: Design Jittering for Doubly Stable Feature Selection
par: Nouraie, Mahdi, et autres
Publié: (2026)

Learning Directed Acyclic Graphs from Partial Orderings
par: Shojaie, Ali, et autres
Publié: (2024)

Targeted Data Fusion for Region-Specific Survival Effects in the AMP HIV Prevention Trials
par: Liu, Yi, et autres
Publié: (2025)

SubgroupTE: Advancing Treatment Effect Estimation with Subgroup Identification
par: Lee, Seungyeon, et autres
Publié: (2024)

Doubly robust identification of treatment effects from multiple environments
par: De Bartolomeis, Piersilvio, et autres
Publié: (2025)

Graph Machine Learning based Doubly Robust Estimator for Network Causal Effects
par: Khatami, Seyedeh Baharan, et autres
Publié: (2024)

Deep Learning of Continuous and Structured Policies for Aggregated Heterogeneous Treatment Effects
par: Zhang, Jennifer Y., et autres
Publié: (2025)

Double Cross-fit Doubly Robust Estimators: Beyond Series Regression
par: McClean, Alec, et autres
Publié: (2024)

Off-policy Evaluation in Doubly Inhomogeneous Environments
par: Bian, Zeyu, et autres
Publié: (2023)

A Primer on the Signature Method in Machine Learning
par: Chevyrev, Ilya, et autres
Publié: (2016)

A Note on Doubly Robust Estimator in Regression Discontinuity Designs
par: Kato, Masahiro
Publié: (2024)

Robust and Agnostic Learning of Conditional Distributional Treatment Effects
par: Kallus, Nathan, et autres
Publié: (2022)

Nuisance Function Tuning and Sample Splitting for Optimally Estimating a Doubly Robust Functional
par: McGrath, Sean, et autres
Publié: (2022)

Proximal Projection for Doubly Sparse Regularized Models
par: He, Jia Wei, et autres
Publié: (2026)

Optimal Nuisance Function Tuning for Estimating a Doubly Robust Functional under Proportional Asymptotics
par: McGrath, Sean, et autres
Publié: (2025)