Image de couverture de livre

Doubly Robust Estimation of Causal Effects in Strategic Equilibrium Systems

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteur principal:	Xiao, Sibo
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Doubly Robust Causal Effect Estimation under Networked Interference via Targeted Learning
par: Chen, Weilin, et autres
Publié: (2024)

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

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

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

Density Ratio-Free Doubly Robust Proxy Causal Learning
par: Bozkurt, Bariscan, et autres
Publié: (2025)

Doubly Robust Proxy Causal Learning with Neural Mean Embeddings
par: Bozkurt, Bariscan, et autres
Publié: (2026)

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

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

Doubly-Robust Estimation of Counterfactual Policy Mean Embeddings
par: Zenati, Houssam, et autres
Publié: (2025)

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

Inferring Heterogeneous Treatment Effects of Crashes on Highway Traffic: A Doubly Robust Causal Machine Learning Approach
par: Li, Shuang, et autres
Publié: (2024)

Doubly-Robust Off-Policy Evaluation with Estimated Logging Policy
par: Lee, Kyungbok, et autres
Publié: (2024)

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

Latent Variable Modeling for Robust Causal Effect Estimation
par: Morimura, Tetsuro, et autres
Publié: (2025)

Conditional Counterfactual Mean Embeddings: Doubly Robust Estimation and Learning Rates
par: Anancharoenkij, Thatchanon, et autres
Publié: (2026)

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

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

Doubly-Robust LLM-as-a-Judge: Externally Valid Estimation with Imperfect Personas
par: Guerdan, Luke, et autres
Publié: (2025)

Deep Doubly Debiased Longitudinal Effect Estimation with ICE G-Computation
par: Chen, Wenxin, et autres
Publié: (2026)

Doubly Robust Inference on Causal Derivative Effects for Continuous Treatments
par: Zhang, Yikun, et autres
Publié: (2025)

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

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

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

A Distributionally Robust Framework for Nuisance in Causal Effect Estimation
par: Tanimoto, Akira
Publié: (2025)

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

Text Rationalization for Robust Causal Effect Estimation
par: Zhang, Lijinghua, et autres
Publié: (2025)

DANCE: Doubly Adaptive Neighborhood Conformal Estimation
par: Feng, Brandon R., et autres
Publié: (2026)

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

The Decaying Missing-at-Random Framework: Model Doubly Robust Causal Inference with Partially Labeled Data
par: Zhang, Yuqian, et autres
Publié: (2023)

Dynamic Causal Structure Discovery and Causal Effect Estimation
par: Wang, Jianian, et autres
Publié: (2025)

Local Causal Discovery for Estimating Causal Effects
par: Gupta, Shantanu, et autres
Publié: (2023)

Causal Interventional Prediction System for Robust and Explainable Effect Forecasting
par: Chu, Zhixuan, et autres
Publié: (2024)

The Role of Causal Features in Strategic Classification for Robustness and Alignment
par: Gois, Antonio, et autres
Publié: (2026)

Automatic Doubly Robust Forests
par: Chen, Zhaomeng, 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)

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

Doubly Robust Alignment for Large Language Models
par: Xu, Erhan, et autres
Publié: (2025)

Doubly Robust Monte Carlo Tree Search
par: Liu, Manqing, et autres
Publié: (2025)

Doubly Outlier-Robust Online Infinite Hidden Markov Model
par: Yiu, Horace, et autres
Publié: (2026)

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