Outlier-Resistant Heterogeneous Treatment Effect Estimation in HDLSS Settings via GAT--CVAE Framework
Fuente:
arXiv
Saved in:
| Main Authors: | Lee, Byeonghee, Kang, Joonsung |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
An Interpretable Ensemble Framework for Multi-Omics Dementia Biomarker Discovery Under HDLSS Conditions
by: Lee, Byeonghee, et al.
Published: (2025)
by: Lee, Byeonghee, et al.
Published: (2025)
Doubly Robust Estimation of Continuous Outcomes under Multiple Treatment Levels via GPS, CBPS, and Penalized Empirical Likelihood
by: Lee, Byeonghee, et al.
Published: (2025)
by: Lee, Byeonghee, et al.
Published: (2025)
Doubly robust average treatment effect estimation for survival data
by: Lee, Byeonghee, et al.
Published: (2025)
by: Lee, Byeonghee, et al.
Published: (2025)
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)
Outlier-Resistant Estimators for Average Treatment Effect in Causal Inference
by: Harada, Kazuharu, et al.
Published: (2021)
by: Harada, Kazuharu, et al.
Published: (2021)
Predictive Causal Inference via Spatio-Temporal Modeling and Penalized Empirical Likelihood
by: Lee, Byunghee, et al.
Published: (2025)
by: Lee, Byunghee, et al.
Published: (2025)
Joint Estimation of Marginal and Heterogeneous Treatment Effects
by: Wuethrich, Leticia, et al.
Published: (2026)
by: Wuethrich, Leticia, et al.
Published: (2026)
HDNRA: An R package for HDLSS location testing with normal-reference approaches
by: Wang, Pengfei, et al.
Published: (2024)
by: Wang, Pengfei, et al.
Published: (2024)
Estimating Treatment Effects Under Bounded Heterogeneity
by: Kwon, Soonwoo, et al.
Published: (2025)
by: Kwon, Soonwoo, et al.
Published: (2025)
LongBet: Heterogeneous Treatment Effect Estimation in Panel Data
by: Wang, Meijia, et al.
Published: (2024)
by: Wang, Meijia, et al.
Published: (2024)
Estimating Heterogeneous Treatment Effects for Spatio-Temporal Causal Inference
by: Zhou, Lingxiao, et al.
Published: (2024)
by: Zhou, Lingxiao, et al.
Published: (2024)
A New Targeted-Federated Learning Framework for Estimating Heterogeneity of Treatment Effects: A Robust Framework with Applications in Aging Cohorts
by: Zhao, Rong, et al.
Published: (2025)
by: Zhao, Rong, et al.
Published: (2025)
Extention of Bagging MARS with Group LASSO for Heterogeneous Treatment Effect Estimation
by: He, Guanwenqing, et al.
Published: (2024)
by: He, Guanwenqing, et al.
Published: (2024)
Hybrid Meta-learners for Estimating Heterogeneous Treatment Effects
by: Liang, Zhongyuan, et al.
Published: (2025)
by: Liang, Zhongyuan, et al.
Published: (2025)
Heterogeneous Quantile Treatment Effect Estimation for Longitudinal Data with High-Dimensional Confounding
by: Qiu, Zhixin, et al.
Published: (2025)
by: Qiu, Zhixin, et al.
Published: (2025)
Estimation and Inference for the Average Treatment Effect in a Score-Explained Heterogeneous Treatment Effect Model
by: Wibisono, Kevin Christian, et al.
Published: (2025)
by: Wibisono, Kevin Christian, et al.
Published: (2025)
Data-Driven Estimation of Heterogeneous Treatment Effects
by: Tran, Christopher, et al.
Published: (2023)
by: Tran, Christopher, et al.
Published: (2023)
Causal-ICM: A Data Fusion Framework For Heterogeneous Treatment Effect Estimation With Multi-Task Gaussian Processes
by: Dimitriou, Evangelos, et al.
Published: (2024)
by: Dimitriou, Evangelos, et al.
Published: (2024)
Using Recursive Partitioning to Find and Estimate Heterogenous Treatment Effects In Randomized Clinical Trials
by: Berk, Richard A., et al.
Published: (2018)
by: Berk, Richard A., et al.
Published: (2018)
Distributional Treatment Effect Estimation across Heterogeneous Sites via Optimal Transport
by: Bateni, Borna, et al.
Published: (2025)
by: Bateni, Borna, et al.
Published: (2025)
Estimating Heterogeneous Causal Effects of High-Dimensional Treatments: Application to Conjoint Analysis
by: Goplerud, Max, et al.
Published: (2022)
by: Goplerud, Max, et al.
Published: (2022)
Shifting the Paradigm: Estimating Heterogeneous Treatment Effects in the Development of Walkable Cities Design
by: Zhu, Jie, et al.
Published: (2024)
by: Zhu, Jie, et al.
Published: (2024)
Estimating Interpretable Heterogeneous Treatment Effect with Causal Subgroup Discovery in Survival Outcomes
by: Bo, Na, et al.
Published: (2024)
by: Bo, Na, et al.
Published: (2024)
A General Framework for Treatment Effect Estimation in Semi-Supervised and High Dimensional Settings
by: Chakrabortty, Abhishek, et al.
Published: (2022)
by: Chakrabortty, Abhishek, et al.
Published: (2022)
Minimax Regret Estimation for Generalizing Heterogeneous Treatment Effects with Multisite Data
by: Zhang, Yi, et al.
Published: (2024)
by: Zhang, Yi, et al.
Published: (2024)
Estimating Heterogeneous Treatment Effects by Combining Weak Instruments and Observational Data
by: Oprescu, Miruna, et al.
Published: (2024)
by: Oprescu, Miruna, et al.
Published: (2024)
What Makes Forest-Based Heterogeneous Treatment Effect Estimators Work?
by: Dandl, Susanne, et al.
Published: (2022)
by: Dandl, Susanne, et al.
Published: (2022)
Using Individualized Treatment Effects to Assess Treatment Effect Heterogeneity
by: Sechidis, Konstantinos, et al.
Published: (2025)
by: Sechidis, Konstantinos, et al.
Published: (2025)
A Large Scale Heterogeneous Treatment Effect Estimation Framework and Its Applications of Users' Journey at Snap
by: Pan, Jing, et al.
Published: (2025)
by: Pan, Jing, et al.
Published: (2025)
Evaluating and Testing for Actionable Treatment Effect Heterogeneity
by: Ashouri, Mahsa, et al.
Published: (2025)
by: Ashouri, Mahsa, et al.
Published: (2025)
On Weighted Orthogonal Learners for Heterogeneous Treatment Effects
by: Morzywolek, Pawel, et al.
Published: (2023)
by: Morzywolek, Pawel, et al.
Published: (2023)
Estimation of Treatment Effects Under Nonstationarity via the Truncated Policy Gradient Estimator
by: Johari, Ramesh, et al.
Published: (2025)
by: Johari, Ramesh, et al.
Published: (2025)
A Non-parametric Direct Learning Approach to Heterogeneous Treatment Effect Estimation under Unmeasured Confounding
by: Zhang, Xinhai, et al.
Published: (2024)
by: Zhang, Xinhai, et al.
Published: (2024)
Differentiable Pareto-Smoothed Weighting for High-Dimensional Heterogeneous Treatment Effect Estimation
by: Chikahara, Yoichi, et al.
Published: (2024)
by: Chikahara, Yoichi, et al.
Published: (2024)
Heterogeneous Treatment Effects and Causal Mechanisms
by: Fu, Jiawei, et al.
Published: (2024)
by: Fu, Jiawei, et al.
Published: (2024)
Nonparametric Estimation of Local Treatment Effects with Continuous Instruments
by: Zeng, Zhenghao, et al.
Published: (2025)
by: Zeng, Zhenghao, et al.
Published: (2025)
Assessing Heterogeneity of Treatment Effects
by: Kaji, Tetsuya, et al.
Published: (2023)
by: Kaji, Tetsuya, et al.
Published: (2023)
Semiparametric Estimation of Treatment Effects in Observational Studies with Heterogeneous Partial Interference
by: Qu, Zhaonan, et al.
Published: (2021)
by: Qu, Zhaonan, et al.
Published: (2021)
Doubly Robust Estimation of Treatment Effects in Staggered Difference-in-Differences with Time-Varying Covariates
by: Deng, Yuhao, et al.
Published: (2026)
by: Deng, Yuhao, et al.
Published: (2026)
Treatment Effect Heterogeneity and Importance Measures for Multivariate Continuous Treatments
by: Shin, Heejun, et al.
Published: (2024)
by: Shin, Heejun, et al.
Published: (2024)
Similar Items
-
An Interpretable Ensemble Framework for Multi-Omics Dementia Biomarker Discovery Under HDLSS Conditions
by: Lee, Byeonghee, et al.
Published: (2025) -
Doubly Robust Estimation of Continuous Outcomes under Multiple Treatment Levels via GPS, CBPS, and Penalized Empirical Likelihood
by: Lee, Byeonghee, et al.
Published: (2025) -
Doubly robust average treatment effect estimation for survival data
by: Lee, Byeonghee, et al.
Published: (2025) -
Penalized Empirical Likelihood for Doubly Robust Causal Inference under Contamination in High Dimensions
by: Lee, Byeonghee, et al.
Published: (2025) -
Outlier-Resistant Estimators for Average Treatment Effect in Causal Inference
by: Harada, Kazuharu, et al.
Published: (2021)