Image de couverture de livre

Robust CATE Estimation Using Novel Ensemble Methods

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Machluf, Oshri, Frostig, Tzviel, Shoham, Gal, Milo, Tomer, Berkman, Elad, Pryluk, Raviv
Format:	Preprint
Publié:	2024
Sujets:	Methodology Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Causal Responder Detection
par: Frostig, Tzviel, et autres
Publié: (2024)

Group Sequential Trial Design Using Stepwise Monte Carlo for Increased Flexibility and Robustness
par: Amitay Kamber, et autres
Publié: (2025)

CATE Estimation With Potential Outcome Imputation From Local Regression
par: Aloui, Ahmed, et autres
Publié: (2023)

Multi-CATE: Multi-Accurate Conditional Average Treatment Effect Estimation Robust to Unknown Covariate Shifts
par: Kern, Christoph, et autres
Publié: (2024)

Transfer Learning of CATE with Kernel Ridge Regression
par: Kim, Seok-Jin, et autres
Publié: (2025)

Optimal and Structure-Adaptive CATE Estimation with Kernel Ridge Regression
par: Kim, Seok-Jin
Publié: (2026)

Direction Preferring Confidence Intervals
par: Frostig, Tzviel, et autres
Publié: (2024)

Overview and practical recommendations on using Shapley Values for identifying predictive biomarkers via CATE modeling
par: Svensson, David, et autres
Publié: (2025)

Fit CATE Once: Model-Assisted Randomization Tests Without Sample Splitting
par: Zheng, Fangnan, et autres
Publié: (2026)

Federated Rule Ensemble Method in Medical Data
par: Wan, Ke, et autres
Publié: (2026)

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

Discrete-time Competing-Risks Regression with or without Penalization
par: Meir, Tomer, et autres
Publié: (2023)

Ablation Studies for Novel Treatment Effect Estimation Models
par: Souto, Hugo Gobato, et autres
Publié: (2024)

Robust Variable Selection and Estimation Via Adaptive Elastic Net S-Estimators for Linear Regression
par: Kepplinger, David
Publié: (2021)

Multiply Robust Estimation for Local Distribution Shifts with Multiple Domains
par: Wilkins-Reeves, Steven, et autres
Publié: (2024)

DFW: A Novel Weighting Scheme for Covariate Balancing and Treatment Effect Estimation
par: Khan, Ahmad Saeed, et autres
Publié: (2025)

Robust Matrix Estimation with Side Information
par: Agarwal, Anish, et autres
Publié: (2026)

Dirichlet Process-based Robust Clustering using the Median-of-Means Estimator
par: Basu, Supratik, et autres
Publié: (2023)

Cluster and then Embed: A Modular Approach for Visualization
par: Coda, Elizabeth, et autres
Publié: (2025)

Robust and Adaptive Spectral Method for Representation Multi-Task Learning with Contamination
par: Huang, Yian, et autres
Publié: (2025)

An Adaptive Dimension Reduction Estimation Method for High-dimensional Bayesian Optimization
par: Hu, Shouri, et autres
Publié: (2024)

Estimating Unknown Population Sizes Using the Hypergeometric Distribution
par: Hodgson, Liam, et autres
Publié: (2024)

Ensemble Prediction via Covariate-dependent Stacking
par: Wakayama, Tomoya, et autres
Publié: (2024)

Robust Spatiotemporally Contiguous Anomaly Detection Using Tensor Decomposition
par: Mondal, Rachita, et autres
Publié: (2025)

Conditional Outcome Equivalence: A Quantile Alternative to CATE
par: Givens, Josh, et autres
Publié: (2024)

Preconditioned Robust Neural Posterior Estimation for Misspecified Simulators
par: Kelly, Ryan P., et autres
Publié: (2026)

Data-Driven Logistic Regression Ensembles With Applications in Genomics
par: Christidis, Anthony-Alexander, et autres
Publié: (2021)

Generalized Bayesian Ensemble Survival Tree (GBEST) model
par: Ballante, Elena, et autres
Publié: (2025)

Calibration Strategies for Robust Causal Estimation: Theoretical and Empirical Insights on Propensity Score-Based Estimators
par: Klaassen, Sven, et autres
Publié: (2025)

A Meta-Learning Method for Estimation of Causal Excursion Effects to Assess Time-Varying Moderation
par: Shi, Jieru, et autres
Publié: (2023)

Robust Inference of Dynamic Covariance Using Wishart Processes and Sequential Monte Carlo
par: Huijsdens, Hester, et autres
Publié: (2024)

Boundary Peeling: Outlier Detection Method Using One-Class Peeling
par: Arafat, Sheikh, et autres
Publié: (2023)

Double Debiased Covariate Shift Adaptation Robust to Density-Ratio Estimation
par: Kato, Masahiro, et autres
Publié: (2023)

Ensemble learning for uncertainty estimation with application to the correction of satellite precipitation products
par: Papacharalampous, Georgia, et autres
Publié: (2024)

EnsLoss: Stochastic Calibrated Loss Ensembles for Preventing Overfitting in Classification
par: Dai, Ben
Publié: (2024)

Conformal Prediction for Ensembles: Improving Efficiency via Score-Based Aggregation
par: Rivera, Eduardo Ochoa, et autres
Publié: (2024)

Kernel-Based Ensemble Gaussian Mixture Probability Hypothesis Density Filter
par: Durant, Dalton, et autres
Publié: (2025)

Causal Rule Ensemble: Interpretable Discovery and Inference of Heterogeneous Treatment Effects
par: Bargagli-Stoffi, Falco J., et autres
Publié: (2020)

Estimating Wage Disparities Using Foundation Models
par: Vafa, Keyon, et autres
Publié: (2024)

Robust Ultra-High-Dimensional Variable Selection With Correlated Structure Using Group Testing
par: Guo, Wanru, et autres
Publié: (2026)