conditional average treatment effect

Improving RCT-Based Treatment Effect Estimation Under Covariate Mismatch via Calibrated Alignment UAI 2026 Learning Who to Treat When Treatment is Missing UAI 2026 ABC3: Active Bayesian Causal Inference with Cohn Criteria in Randomized Experiments AAAI 2025 Active Feature Acquisition for Personalised Treatment Assignment AISTATS 2025 CATE Estimation With Potential Outcome Imputation From Local Regression UAI 2025 Conditional Average Treatment Effect Estimation Under Hidden Confounders UAI 2025 Do Contemporary Causal Inference Models Capture Real-World Heterogeneity? Findings from a Large-Scale Benchmark ICLR 2025 Enhancing Predictive Imaging Biomarker Discovery through Treatment Effect Analysis WACV 2025 Learning Representations of Instruments for Partial Identification of Treatment Effects ICML 2025 Measuring Variable Importance in Heterogeneous Treatment Effects with Confidence ICML 2025 Optimizing Multi-Scale Representations to Detect Effect Heterogeneity Using Earth Observation and Computer Vision: Applications to Two Anti-Poverty RCTs CLeaR 2025 Orthogonal Causal Calibration (Extended Abstract) COLT 2025 A Non-parametric Direct Learning Approach to Heterogeneous Treatment Effect Estimation under Unmeasured Confounding NeurIPS 2024 Benchmarking Observational Studies with Experimental Data under Right-Censoring AISTATS 2024 Causal Q-Aggregation for CATE Model Selection AISTATS 2024 Dynamic Inter-treatment Information Sharing for Individualized Treatment Effects Estimation AISTATS 2024 Empirical Analysis of Model Selection for Heterogeneous Causal Effect Estimation ICLR 2024 Estimating Conditional Average Treatment Effects via Sufficient Representation Learning IJCAI 2024 Estimating Heterogeneous Treatment Effects by Combining Weak Instruments and Observational Data NeurIPS 2024 Inverse-Variance Weighting for Estimation of Heterogeneous Treatment Effects ICML 2024 Learning to Rank for Optimal Treatment Allocation Under Resource Constraints AISTATS 2024 Meta-Learners for Partially-Identified Treatment Effects Across Multiple Environments ICML 2024 Privacy Preserving Adaptive Experiment Design ICML 2024 Unveiling the Potential of Robustness in Selecting Conditional Average Treatment Effect Estimators NeurIPS 2024 B-Learner: Quasi-Oracle Bounds on Heterogeneous Causal Effects Under Hidden Confounding ICML 2023