CATE Estimation With Potential Outcome Imputation From Local Regression
Fuente:
arXiv
Saved in:
| Main Authors: | Aloui, Ahmed, Dong, Juncheng, Le, Cat P., Tarokh, Vahid |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Treatment Effects in Extreme Regimes
by: Aloui, Ahmed, et al.
Published: (2023)
by: Aloui, Ahmed, et al.
Published: (2023)
Conditional Average Treatment Effect Estimation Under Hidden Confounders
by: Aloui, Ahmed, et al.
Published: (2025)
by: Aloui, Ahmed, et al.
Published: (2025)
Teleportation With Null Space Gradient Projection for Optimization Acceleration
by: Wu, Zihao, et al.
Published: (2025)
by: Wu, Zihao, et al.
Published: (2025)
Transfer Learning of CATE with Kernel Ridge Regression
by: Kim, Seok-Jin, et al.
Published: (2025)
by: Kim, Seok-Jin, 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)
Score-Based Metropolis-Hastings Algorithms
by: Aloui, Ahmed, et al.
Published: (2024)
by: Aloui, Ahmed, et al.
Published: (2024)
CARE: Turning LLMs Into Causal Reasoning Expert
by: Dong, Juncheng, et al.
Published: (2025)
by: Dong, Juncheng, 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)
Random Linear Projections Loss for Hyperplane-Based Optimization in Neural Networks
by: Venkatasubramanian, Shyam, et al.
Published: (2023)
by: Venkatasubramanian, Shyam, et al.
Published: (2023)
Conditional Score Learning for Quickest Change Detection in Markov Transition Kernels
by: Chen, Wuxia, et al.
Published: (2025)
by: Chen, Wuxia, et al.
Published: (2025)
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)
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)
Fit CATE Once: Model-Assisted Randomization Tests Without Sample Splitting
by: Zheng, Fangnan, et al.
Published: (2026)
by: Zheng, Fangnan, et al.
Published: (2026)
Robust Score-Based Quickest Change Detection
by: Moushegian, Sean, et al.
Published: (2024)
by: Moushegian, Sean, et al.
Published: (2024)
Score-based Metropolis-Hastings for Fractional Langevin Algorithms
by: Aloui, Ahmed, et al.
Published: (2026)
by: Aloui, Ahmed, et al.
Published: (2026)
Conformalized Regression for Continuous Bounded Outcomes
by: Wu, Zhanli, et al.
Published: (2025)
by: Wu, Zhanli, et al.
Published: (2025)
Imputation-Powered Inference
by: Zhao, Sarah, et al.
Published: (2025)
by: Zhao, Sarah, et al.
Published: (2025)
Conditional Outcome Equivalence: A Quantile Alternative to CATE
by: Givens, Josh, et al.
Published: (2024)
by: Givens, Josh, et al.
Published: (2024)
Nonparametric Regression Discontinuity Designs with Survival Outcomes
by: Schuessler, Maximilian, et al.
Published: (2026)
by: Schuessler, Maximilian, et al.
Published: (2026)
S2TX: Cross-Attention Multi-Scale State-Space Transformer for Time Series Forecasting
by: Wu, Zihao, et al.
Published: (2025)
by: Wu, Zihao, et al.
Published: (2025)
Robust Local Polynomial Regression with Similarity Kernels
by: Shulman, Yaniv
Published: (2025)
by: Shulman, Yaniv
Published: (2025)
Calibrated Multivariate Regression with Localized PIT Mappings
by: Kock, Lucas, et al.
Published: (2024)
by: Kock, Lucas, et al.
Published: (2024)
Imputation Uncertainty in Interpretable Machine Learning Methods
by: Golchian, Pegah, et al.
Published: (2025)
by: Golchian, Pegah, et al.
Published: (2025)
Imputation of missing values in multi-view data
by: van Loon, Wouter, et al.
Published: (2022)
by: van Loon, Wouter, et al.
Published: (2022)
Perceiver-based CDF Modeling for Time Series Forecasting
by: Le, Cat P., et al.
Published: (2023)
by: Le, Cat P., et al.
Published: (2023)
In-Context Reinforcement Learning From Suboptimal Historical Data
by: Dong, Juncheng, et al.
Published: (2026)
by: Dong, Juncheng, et al.
Published: (2026)
EM Approaches to Nonparametric Estimation for Mixture of Linear Regressions
by: Welbaum, Andrew, et al.
Published: (2025)
by: Welbaum, Andrew, et al.
Published: (2025)
Rethinking Token Prediction: Tree-Structured Diffusion Language Model
by: Wu, Zihao, et al.
Published: (2026)
by: Wu, Zihao, et al.
Published: (2026)
Robust Variable Selection and Estimation Via Adaptive Elastic Net S-Estimators for Linear Regression
by: Kepplinger, David
Published: (2021)
by: Kepplinger, David
Published: (2021)
Interval Estimation of Coefficients in Penalized Regression Models of Insurance Data
by: Manna, Alokesh, et al.
Published: (2024)
by: Manna, Alokesh, et al.
Published: (2024)
Benchmarking Tabular Foundation Models for Conditional Density Estimation in Regression
by: Izbicki, Rafael, et al.
Published: (2026)
by: Izbicki, Rafael, et al.
Published: (2026)
Order-based Structure Learning with Normalizing Flows
by: Kamkari, Hamidreza, et al.
Published: (2023)
by: Kamkari, Hamidreza, et al.
Published: (2023)
Recursive Equations For Imputation Of Missing Not At Random Data With Sparse Pattern Support
by: Phung, Trung, et al.
Published: (2025)
by: Phung, Trung, et al.
Published: (2025)
Skeleton Regression: A Graph-Based Approach to Estimation with Manifold Structure
by: Wei, Zeyu, et al.
Published: (2023)
by: Wei, Zeyu, et al.
Published: (2023)
Integrated Subset Selection and Bandwidth Estimation Algorithm for Geographically Weighted Regression
by: Lee, Hyunwoo, et al.
Published: (2025)
by: Lee, Hyunwoo, et al.
Published: (2025)
Regression-Based Estimation of Causal Effects in the Presence of Selection Bias and Confounding
by: Hafer, Marlies, et al.
Published: (2025)
by: Hafer, Marlies, et al.
Published: (2025)
Distributed High-Dimensional Quantile Regression: Estimation Efficiency and Support Recovery
by: Wang, Caixing, et al.
Published: (2024)
by: Wang, Caixing, et al.
Published: (2024)
Synthetic Potential Outcomes and Causal Mixture Identifiability
by: Mazaheri, Bijan, et al.
Published: (2024)
by: Mazaheri, Bijan, et al.
Published: (2024)
Group selection and shrinkage: Structured sparsity for semiparametric additive models
by: Thompson, Ryan, et al.
Published: (2021)
by: Thompson, Ryan, et al.
Published: (2021)
A Unified Framework for Inference with General Missingness Patterns and Machine Learning Imputation
by: Chen, Xingran, et al.
Published: (2025)
by: Chen, Xingran, et al.
Published: (2025)
Similar Items
-
Treatment Effects in Extreme Regimes
by: Aloui, Ahmed, et al.
Published: (2023) -
Conditional Average Treatment Effect Estimation Under Hidden Confounders
by: Aloui, Ahmed, et al.
Published: (2025) -
Teleportation With Null Space Gradient Projection for Optimization Acceleration
by: Wu, Zihao, et al.
Published: (2025) -
Transfer Learning of CATE with Kernel Ridge Regression
by: Kim, Seok-Jin, et al.
Published: (2025) -
Optimal and Structure-Adaptive CATE Estimation with Kernel Ridge Regression
by: Kim, Seok-Jin
Published: (2026)