Benchmarking Estimators for Natural Experiments: A Novel Dataset and a Doubly Robust Algorithm
Fuente:
arXiv
Saved in:
| Main Authors: | Witter, R. Teal, Musco, Christopher |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Provably Accurate Shapley Value Estimation via Leverage Score Sampling
by: Musco, Christopher, et al.
Published: (2024)
by: Musco, Christopher, et al.
Published: (2024)
Regression-adjusted Monte Carlo Estimators for Shapley Values and Probabilistic Values
by: Witter, R. Teal, et al.
Published: (2025)
by: Witter, R. Teal, et al.
Published: (2025)
PolySHAP: Extending KernelSHAP with Interaction-Informed Polynomial Regression
by: Fumagalli, Fabian, et al.
Published: (2026)
by: Fumagalli, Fabian, et al.
Published: (2026)
FairlyUncertain: A Comprehensive Benchmark of Uncertainty in Algorithmic Fairness
by: Rosenblatt, Lucas, et al.
Published: (2024)
by: Rosenblatt, Lucas, et al.
Published: (2024)
Kernel Banzhaf: A Fast and Robust Estimator for Banzhaf Values
by: Liu, Yurong, et al.
Published: (2024)
by: Liu, Yurong, et al.
Published: (2024)
Direct Doubly Robust Estimation of Conditional Quantile Contrasts
by: Givens, Josh, et al.
Published: (2026)
by: Givens, Josh, et al.
Published: (2026)
Conditional Distributional Treatment Effects: Doubly Robust Estimation and Testing
by: Jain, Saksham, et al.
Published: (2026)
by: Jain, Saksham, et al.
Published: (2026)
A Note on Doubly Robust Estimator in Regression Discontinuity Designs
by: Kato, Masahiro
Published: (2024)
by: Kato, Masahiro
Published: (2024)
Double Cross-fit Doubly Robust Estimators: Beyond Series Regression
by: McClean, Alec, et al.
Published: (2024)
by: McClean, Alec, et al.
Published: (2024)
Doubly Robust Interval Estimation for Optimal Policy Evaluation in Online Learning
by: Shen, Ye, et al.
Published: (2021)
by: Shen, Ye, et al.
Published: (2021)
Doubly Robust Fusion of Many Treatments for Policy Learning
by: Zhu, Ke, et al.
Published: (2025)
by: Zhu, Ke, et al.
Published: (2025)
Doubly Robust Proximal Causal Learning for Continuous Treatments
by: Wu, Yong, et al.
Published: (2023)
by: Wu, Yong, et al.
Published: (2023)
Nuisance Function Tuning and Sample Splitting for Optimally Estimating a Doubly Robust Functional
by: McGrath, Sean, et al.
Published: (2022)
by: McGrath, Sean, et al.
Published: (2022)
Doubly Robust Conformalized Survival Analysis with Right-Censored Data
by: Sesia, Matteo, et al.
Published: (2024)
by: Sesia, Matteo, et al.
Published: (2024)
Doubly Robust Conditional Independence Testing with Generative Neural Networks
by: Zhang, Yi, et al.
Published: (2024)
by: Zhang, Yi, et al.
Published: (2024)
Optimal Nuisance Function Tuning for Estimating a Doubly Robust Functional under Proportional Asymptotics
by: McGrath, Sean, et al.
Published: (2025)
by: McGrath, Sean, et al.
Published: (2025)
Structure-agnostic Optimality of Doubly Robust Learning for Treatment Effect Estimation
by: Jin, Jikai, et al.
Published: (2024)
by: Jin, Jikai, et al.
Published: (2024)
Doubly Robust Inference in Causal Latent Factor Models
by: Abadie, Alberto, et al.
Published: (2024)
by: Abadie, Alberto, et al.
Published: (2024)
Robust CATE Estimation Using Novel Ensemble Methods
by: Machluf, Oshri, et al.
Published: (2024)
by: Machluf, Oshri, et al.
Published: (2024)
Automatic Doubly Robust Forests
by: Chen, Zhaomeng, et al.
Published: (2024)
by: Chen, Zhaomeng, et al.
Published: (2024)
Beyond Differences: Doubly Robust Meta-Learners for Ratio-Based Treatment Effects
by: Fuchs, Michael, et al.
Published: (2026)
by: Fuchs, Michael, et al.
Published: (2026)
A Tutorial on Doubly Robust Learning for Causal Inference
by: Hlynsson, Hlynur Davíð
Published: (2024)
by: Hlynsson, Hlynur Davíð
Published: (2024)
Graph Machine Learning based Doubly Robust Estimator for Network Causal Effects
by: Khatami, Seyedeh Baharan, et al.
Published: (2024)
by: Khatami, Seyedeh Baharan, et al.
Published: (2024)
Bayesian Semiparametric Causal Inference: Targeted Doubly Robust Estimation of Treatment Effects
by: Sert, Gözde, et al.
Published: (2025)
by: Sert, Gözde, et al.
Published: (2025)
A Doubly Robust Machine Learning Approach for Disentangling Treatment Effect Heterogeneity with Functional Outcomes
by: Salmaso, Filippo, et al.
Published: (2026)
by: Salmaso, Filippo, et al.
Published: (2026)
DR-VIDAL -- Doubly Robust Variational Information-theoretic Deep Adversarial Learning for Counterfactual Prediction and Treatment Effect Estimation on Real World Data
by: Ghosh, Shantanu, et al.
Published: (2023)
by: Ghosh, Shantanu, et al.
Published: (2023)
Penalized Empirical Likelihood for Doubly Robust Causal Inference under Contamination in High Dimensions
by: Lee, Byeonghee, et al.
Published: (2025)
by: Lee, Byeonghee, et al.
Published: (2025)
Doubly-Regressing Approach for Subgroup Fairness
by: Kim, Kunwoong, et al.
Published: (2025)
by: Kim, Kunwoong, et al.
Published: (2025)
Proximal Projection for Doubly Sparse Regularized Models
by: He, Jia Wei, et al.
Published: (2026)
by: He, Jia Wei, et al.
Published: (2026)
Off-policy Evaluation in Doubly Inhomogeneous Environments
by: Bian, Zeyu, et al.
Published: (2023)
by: Bian, Zeyu, et al.
Published: (2023)
Doubly robust identification of treatment effects from multiple environments
by: De Bartolomeis, Piersilvio, et al.
Published: (2025)
by: De Bartolomeis, Piersilvio, et al.
Published: (2025)
Preconditioned Robust Neural Posterior Estimation for Misspecified Simulators
by: Kelly, Ryan P., et al.
Published: (2026)
by: Kelly, Ryan P., et al.
Published: (2026)
The Decaying Missing-at-Random Framework: Model Doubly Robust Causal Inference with Partially Labeled Data
by: Zhang, Yuqian, et al.
Published: (2023)
by: Zhang, Yuqian, et al.
Published: (2023)
Method-of-Moments Inference for GLMs and Doubly Robust Functionals under Proportional Asymptotics
by: Chen, Xingyu, et al.
Published: (2024)
by: Chen, Xingyu, et al.
Published: (2024)
Efficient and Multiply Robust Risk Estimation under General Forms of Dataset Shift
by: Qiu, Hongxiang, et al.
Published: (2023)
by: Qiu, Hongxiang, et al.
Published: (2023)
2D Stability Selection: Design Jittering for Doubly Stable Feature Selection
by: Nouraie, Mahdi, et al.
Published: (2026)
by: Nouraie, Mahdi, et al.
Published: (2026)
Benchmarking Observational Studies with Experimental Data under Right-Censoring
by: Demirel, Ilker, et al.
Published: (2024)
by: Demirel, Ilker, et al.
Published: (2024)
Integrating Active Learning in Causal Inference with Interference: A Novel Approach in Online Experiments
by: Zhu, Hongtao, et al.
Published: (2024)
by: Zhu, Hongtao, et al.
Published: (2024)
Ablation Studies for Novel Treatment Effect Estimation Models
by: Souto, Hugo Gobato, et al.
Published: (2024)
by: Souto, Hugo Gobato, et al.
Published: (2024)
Robustness of Algorithms for Causal Structure Learning to Hyperparameter Choice
by: Machlanski, Damian, et al.
Published: (2023)
by: Machlanski, Damian, et al.
Published: (2023)
Similar Items
-
Provably Accurate Shapley Value Estimation via Leverage Score Sampling
by: Musco, Christopher, et al.
Published: (2024) -
Regression-adjusted Monte Carlo Estimators for Shapley Values and Probabilistic Values
by: Witter, R. Teal, et al.
Published: (2025) -
PolySHAP: Extending KernelSHAP with Interaction-Informed Polynomial Regression
by: Fumagalli, Fabian, et al.
Published: (2026) -
FairlyUncertain: A Comprehensive Benchmark of Uncertainty in Algorithmic Fairness
by: Rosenblatt, Lucas, et al.
Published: (2024) -
Kernel Banzhaf: A Fast and Robust Estimator for Banzhaf Values
by: Liu, Yurong, et al.
Published: (2024)