Copertina

DR-VIDAL -- Doubly Robust Variational Information-theoretic Deep Adversarial Learning for Counterfactual Prediction and Treatment Effect Estimation on Real World Data

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Ghosh, Shantanu, Feng, Zheng, Bian, Jiang, Butler, Kevin, Prosperi, Mattia
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Machine Learning Methodology
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Doubly-Robust Functional Average Treatment Effect Estimation
di: Testa, Lorenzo, et al.
Pubblicazione: (2025)

Copula-Based Endogeneity Correction for Doubly Robust Estimation of Treatment Effect
di: Shikalgar, Sahil, et al.
Pubblicazione: (2026)

Covariate Balancing and the Equivalence of Weighting and Doubly Robust Estimators of Average Treatment Effects
di: Słoczyński, Tymon, et al.
Pubblicazione: (2023)

Conditional Distributional Treatment Effects: Doubly Robust Estimation and Testing
di: Jain, Saksham, et al.
Pubblicazione: (2026)

Doubly Robust Estimators with Weak Overlap
di: Ma, Yukun, et al.
Pubblicazione: (2023)

Demystify Doubly-Robust Estimation: The Role of Overlap
di: Yang, Chengxin, et al.
Pubblicazione: (2026)

A Doubly Robust Instrumental Variable Approach for Estimating Average Treatment Effects in Time-to-Event Data with Unmeasured Confounding: Application to Real-World Data on ICU Patients with Septic Shock
di: Li, Runjia, et al.
Pubblicazione: (2025)

Doubly Robust Estimation of Treatment Effects in Staggered Difference-in-Differences with Time-Varying Covariates
di: Deng, Yuhao, et al.
Pubblicazione: (2026)

Why Is the Double-Robust Estimator for Causal Inference Not Doubly Robust for Variance Estimation?
di: Wu, Hao, et al.
Pubblicazione: (2025)

Doubly Robust Nonparametric Efficient Estimation for Provider Evaluation
di: Susmann, Herbert, et al.
Pubblicazione: (2024)

Doubly-Robust Bayesian Estimation of Optimal Individualized Treatment Rules using Network Meta-Analysis
di: Wigle, Augustine, et al.
Pubblicazione: (2026)

Structure-agnostic Optimality of Doubly Robust Learning for Treatment Effect Estimation
di: Jin, Jikai, et al.
Pubblicazione: (2024)

Doubly Robust Targeted Estimation of Conditional Average Treatment Effects for Time-to-event Outcomes with Competing Risks
di: Li, Runjia, et al.
Pubblicazione: (2024)

Auto-Doubly Robust Estimation of Causal Effects on a Network
di: Liu, Jizhou, et al.
Pubblicazione: (2025)

Doubly Robust Fusion of Many Treatments for Policy Learning
di: Zhu, Ke, et al.
Pubblicazione: (2025)

Doubly Robust Proximal Causal Learning for Continuous Treatments
di: Wu, Yong, et al.
Pubblicazione: (2023)

Doubly Robust Estimation of Continuous Outcomes under Multiple Treatment Levels via GPS, CBPS, and Penalized Empirical Likelihood
di: Lee, Byeonghee, et al.
Pubblicazione: (2025)

Bayesian Semiparametric Causal Inference: Targeted Doubly Robust Estimation of Treatment Effects
di: Sert, Gözde, et al.
Pubblicazione: (2025)

On Doubly Robust Estimation with Nonignorable Missing Data Using Instrumental Variables
di: Sun, Baoluo, et al.
Pubblicazione: (2023)

Doubly Robust Estimation under Covariate-Induced Dependent Left Truncation
di: Wang, Yuyao, et al.
Pubblicazione: (2022)

The Role of Congeniality in Multiple Imputation for Doubly Robust Causal Estimation
di: McGowan, Lucy D'Agostino
Pubblicazione: (2025)

Optimal Treatment Rules under Missing Predictive Covariates: A Covariate-Balancing Doubly Robust Approach
di: Zhang, Yue, et al.
Pubblicazione: (2025)

Sequentially Doubly Robust Estimation of Conditional Survival Probability with Time-Varying Covariates
di: Qiu, Hongxiang, et al.
Pubblicazione: (2025)

Doubly Robust Estimation of Desirability of Outcome Ranking (DOOR) Probability with Application to MDRO Studies
di: Shu, Shiyu, et al.
Pubblicazione: (2026)

Doubly Robust Proximal Synthetic Controls
di: Qiu, Hongxiang, et al.
Pubblicazione: (2022)

Beyond Differences: Doubly Robust Meta-Learners for Ratio-Based Treatment Effects
di: Fuchs, Michael, et al.
Pubblicazione: (2026)

Direct Doubly Robust Estimation of Conditional Quantile Contrasts
di: Givens, Josh, et al.
Pubblicazione: (2026)

Doubly Robust Estimation of Causal Excursion Effects in Micro-Randomized Trials with Missing Longitudinal Outcomes
di: Yu, Jiaxin, et al.
Pubblicazione: (2024)

Off-policy Evaluation in Doubly Inhomogeneous Environments
di: Bian, Zeyu, et al.
Pubblicazione: (2023)

Doubly Robust Machine Learning for Population Size Estimation with Missing Covariates: Application to Gaza Conflict Mortality
di: Rubio, Mateo Dulce, et al.
Pubblicazione: (2026)

Doubly Robust Uniform Confidence Bands for Group-Time Conditional Average Treatment Effects in Difference-in-Differences
di: Imai, Shunsuke, et al.
Pubblicazione: (2023)

A Doubly Robust Machine Learning Approach for Disentangling Treatment Effect Heterogeneity with Functional Outcomes
di: Salmaso, Filippo, et al.
Pubblicazione: (2026)

Efficient Estimation of Average Treatment Effect on the Treated under Endogenous Treatment Assignment
di: Ghosh, Trinetri, et al.
Pubblicazione: (2023)

Doubly Robust Estimation with Stabilized Weights for Binary Proximal Outcomes in Micro-Randomized Trials
di: Cha, Jinho, et al.
Pubblicazione: (2025)

Benchmarking Estimators for Natural Experiments: A Novel Dataset and a Doubly Robust Algorithm
di: Witter, R. Teal, et al.
Pubblicazione: (2024)

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

Double Cross-fit Doubly Robust Estimators: Beyond Series Regression
di: McClean, Alec, et al.
Pubblicazione: (2024)

Doubly Robust Interval Estimation for Optimal Policy Evaluation in Online Learning
di: Shen, Ye, et al.
Pubblicazione: (2021)

An Estimator-Robust Design for Augmenting Randomized Controlled Trial with External Real-World Data
di: Qiu, Sky, et al.
Pubblicazione: (2025)

On Doubly Robust Inference for Double Machine Learning in Semiparametric Regression
di: Dukes, Oliver, et al.
Pubblicazione: (2021)