Improving RCT-Based CATE Estimation Under Covariate Mismatch via Calibrated Alignment
Fuente:
arXiv
Saved in:
| Main Authors: | Asiaee, Amir, Pal, Samhita |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Improving RCT-Based CATE Estimation Under Covariate Mismatch via Double Calibration
by: Pal, Samhita, et al.
Published: (2026)
by: Pal, Samhita, et al.
Published: (2026)
Noise-Calibrated Inference from Differentially Private Sufficient Statistics in Exponential Families
by: Asiaee, Amir, et al.
Published: (2026)
by: Asiaee, Amir, et al.
Published: (2026)
Improving Precision of RCT-Based CATE Estimation using Data Borrowing with Double Calibration
by: Asiaee, Amir, et al.
Published: (2023)
by: Asiaee, Amir, et al.
Published: (2023)
Causal Discovery with Mixed Latent Confounding via Precision Decomposition
by: Asiaee, Amir, et al.
Published: (2025)
by: Asiaee, Amir, et al.
Published: (2025)
Efficient Discovery of Approximate Causal Abstractions via Neural Mechanism Sparsification
by: Asiaee, Amir
Published: (2026)
by: Asiaee, Amir
Published: (2026)
Fairness Under Group-Conditional Prior Probability Shift: Invariance, Drift, and Target-Aware Post-Processing
by: Asiaee, Amir, et al.
Published: (2026)
by: Asiaee, Amir, et al.
Published: (2026)
Fix Representation (Optimally) Before Fairness: Finite-Sample Shrinkage Population Correction and the True Price of Fairness Under Subpopulation Shift
by: Asiaee, Amir, et al.
Published: (2026)
by: Asiaee, Amir, et al.
Published: (2026)
DAG DECORation: Continuous Optimization for Structure Learning under Hidden Confounding
by: Pal, Samhita, et al.
Published: (2025)
by: Pal, Samhita, et al.
Published: (2025)
Projected Boosting with Fairness Constraints: Quantifying the Cost of Fair Training Distributions
by: Asiaee, Amir, et al.
Published: (2026)
by: Asiaee, Amir, et al.
Published: (2026)
Omitted-Variable Sensitivity Analysis for Generalizing Randomized Trials
by: Asiaee, Amir, et al.
Published: (2026)
by: Asiaee, Amir, et al.
Published: (2026)
Multi-CATE: Multi-Accurate Conditional Average Treatment Effect Estimation Robust to Unknown Covariate Shifts
by: Kern, Christoph, et al.
Published: (2024)
by: Kern, Christoph, et al.
Published: (2024)
K-Fold Causal BART for CATE Estimation
by: Souto, Hugo Gobato, et al.
Published: (2024)
by: Souto, Hugo Gobato, et al.
Published: (2024)
Leveraging a Simulator for Learning Causal Representations from Post-Treatment Covariates for CATE
by: Nagalapatti, Lokesh, et al.
Published: (2025)
by: Nagalapatti, Lokesh, et al.
Published: (2025)
Robust CATE Estimation Using Novel Ensemble Methods
by: Machluf, Oshri, et al.
Published: (2024)
by: Machluf, Oshri, et al.
Published: (2024)
CausalWrap: Model-Agnostic Causal Constraint Wrappers for Tabular Synthetic Data
by: Asiaee, Amir, et al.
Published: (2026)
by: Asiaee, Amir, et al.
Published: (2026)
Partial Causal Structure Learning for Valid Selective Conformal Inference under Interventions
by: Asiaee, Amir, et al.
Published: (2026)
by: Asiaee, Amir, et al.
Published: (2026)
Profit-Aligned CATE Estimation: Reconciling Policy Learning and Inference
by: Timoshenko, Artem, et al.
Published: (2025)
by: Timoshenko, Artem, et al.
Published: (2025)
CATE Estimation With Potential Outcome Imputation From Local Regression
by: Aloui, Ahmed, et al.
Published: (2023)
by: Aloui, Ahmed, et al.
Published: (2023)
Sharp Bounds for Treatment Effect Generalization under Outcome Distribution Shift
by: Asiaee, Amir, et al.
Published: (2026)
by: Asiaee, Amir, et al.
Published: (2026)
Causal-EPIG: A Prediction-Oriented Active Learning Framework for CATE Estimation
by: Gao, Erdun, et al.
Published: (2025)
by: Gao, Erdun, et al.
Published: (2025)
Optimal and Structure-Adaptive CATE Estimation with Kernel Ridge Regression
by: Kim, Seok-Jin
Published: (2026)
by: Kim, Seok-Jin
Published: (2026)
A Partial Initialization Strategy to Mitigate the Overfitting Problem in CATE Estimation with Hidden Confounding
by: Zhou, Chuan, et al.
Published: (2025)
by: Zhou, Chuan, et al.
Published: (2025)
Understanding Uncertainty-based Active Learning Under Model Mismatch
by: Rahmati, Amir Hossein, et al.
Published: (2024)
by: Rahmati, Amir Hossein, et al.
Published: (2024)
Distance Matters For Improving Performance Estimation Under Covariate Shift
by: Roschewitz, Mélanie, et al.
Published: (2023)
by: Roschewitz, Mélanie, et al.
Published: (2023)
Assessing Estimate of CATE from Observational Data via an RCT Study
by: Cui, Bosen, et al.
Published: (2026)
by: Cui, Bosen, et al.
Published: (2026)
Handling Covariate Mismatch in Federated Linear Prediction
by: Ayme, Alexis, et al.
Published: (2026)
by: Ayme, Alexis, et al.
Published: (2026)
Advancing Causal Inference: A Nonparametric Approach to ATE and CATE Estimation with Continuous Treatments
by: Souto, Hugo Gobato, et al.
Published: (2024)
by: Souto, Hugo Gobato, et al.
Published: (2024)
PRISM: Differentially Private Synthetic Data with Structure-Aware Budget Allocation for Prediction
by: Asiaee, Amir, et al.
Published: (2026)
by: Asiaee, Amir, et al.
Published: (2026)
Risk-Equalized Differentially Private Synthetic Data: Protecting Outliers by Controlling Record-Level Influence
by: Asiaee, Amir, et al.
Published: (2026)
by: Asiaee, Amir, et al.
Published: (2026)
Transfer Learning of CATE with Kernel Ridge Regression
by: Kim, Seok-Jin, et al.
Published: (2025)
by: Kim, Seok-Jin, et al.
Published: (2025)
Ensemble Survival Analysis for Preclinical Cognitive Decline Prediction in Alzheimer's Disease Using Longitudinal Biomarkers
by: Ghosh, Dhrubajyoti, et al.
Published: (2025)
by: Ghosh, Dhrubajyoti, et al.
Published: (2025)
Constrained Reinforcement Learning Under Model Mismatch
by: Sun, Zhongchang, et al.
Published: (2024)
by: Sun, Zhongchang, et al.
Published: (2024)
Collaborative Value Function Estimation Under Model Mismatch: A Federated Temporal Difference Analysis
by: Beikmohammadi, Ali, et al.
Published: (2025)
by: Beikmohammadi, Ali, et al.
Published: (2025)
Overview and practical recommendations on using Shapley Values for identifying predictive biomarkers via CATE modeling
by: Svensson, David, et al.
Published: (2025)
by: Svensson, David, et al.
Published: (2025)
RCT Rejection Sampling for Causal Estimation Evaluation
by: Keith, Katherine A., et al.
Published: (2023)
by: Keith, Katherine A., et al.
Published: (2023)
Minimax Optimal Two-Stage Algorithm For Moment Estimation Under Covariate Shift
by: Zhang, Zhen, et al.
Published: (2025)
by: Zhang, Zhen, et al.
Published: (2025)
Entropic Projection Alignment: Estimating, Explaining, and Improving Model Performance Under Distribution Shift
by: Amoukou, Salim I., et al.
Published: (2026)
by: Amoukou, Salim I., et al.
Published: (2026)
A Two-Stage CAE-Based Federated Learning Framework for Efficient Jamming Detection in 5G Networks
by: Kuili, Samhita, et al.
Published: (2025)
by: Kuili, Samhita, et al.
Published: (2025)
Covariance-Aware Private Mean Estimation Without Private Covariance Estimation
by: Brown, Gavin, et al.
Published: (2021)
by: Brown, Gavin, et al.
Published: (2021)
Estimating Model Performance Under Covariate Shift Without Labels
by: Białek, Jakub, et al.
Published: (2024)
by: Białek, Jakub, et al.
Published: (2024)
Similar Items
-
Improving RCT-Based CATE Estimation Under Covariate Mismatch via Double Calibration
by: Pal, Samhita, et al.
Published: (2026) -
Noise-Calibrated Inference from Differentially Private Sufficient Statistics in Exponential Families
by: Asiaee, Amir, et al.
Published: (2026) -
Improving Precision of RCT-Based CATE Estimation using Data Borrowing with Double Calibration
by: Asiaee, Amir, et al.
Published: (2023) -
Causal Discovery with Mixed Latent Confounding via Precision Decomposition
by: Asiaee, Amir, et al.
Published: (2025) -
Efficient Discovery of Approximate Causal Abstractions via Neural Mechanism Sparsification
by: Asiaee, Amir
Published: (2026)