heterogeneous treatment effect

A causal fused lasso for interpretable heterogeneous treatment effects estimation JMLR 2026 Causal Inference Under Threshold Manipulation: Bayesian Mixture Modeling and Heterogeneous Treatment Effects AAAI 2026 Advancing Fairness in Precision Medicine: A Universal Framework for Optimal Treatment Estimation in Censored Data AISTATS 2025 Differentially private learners for heterogeneous treatment effects ICLR 2025 Heterogeneous Treatment Effect in Time-to-Event Outcomes: Harnessing Censored Data with Recursively Imputed Trees ICML 2025 Integer Programming for Generalized Causal Bootstrap Designs ICML 2025 Is Merging Worth It? Securely Evaluating the Information Gain for Causal Dataset Acquisition AISTATS 2025 Model-agnostic meta-learners for estimating heterogeneous treatment effects over time ICLR 2025 Trustworthy assessment of heterogeneous treatment effect estimator via analysis of relative error AISTATS 2025 A Non-parametric Direct Learning Approach to Heterogeneous Treatment Effect Estimation under Unmeasured Confounding NeurIPS 2024 Differentiable Pareto-Smoothed Weighting for High-Dimensional Heterogeneous Treatment Effect Estimation UAI 2024 DiffPO: A causal diffusion model for learning distributions of potential outcomes NeurIPS 2024 Discovering Heterogeneous Causal Effects in Relational Data AAAI 2024 Empirical Analysis of Model Selection for Heterogeneous Causal Effect Estimation ICLR 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 KG-TREAT: Pre-training for Treatment Effect Estimation by Synergizing Patient Data with Knowledge Graphs AAAI 2024 ODE Discovery for Longitudinal Heterogeneous Treatment Effects Inference ICLR 2024 Uncertainty Quantification in Heterogeneous Treatment Effect Estimation with Gaussian-Process-Based Partially Linear Model AAAI 2024 B-Learner: Quasi-Oracle Bounds on Heterogeneous Causal Effects Under Hidden Confounding ICML 2023 Causal Isotonic Calibration for Heterogeneous Treatment Effects ICML 2023 Comparison of meta-learners for estimating multi-valued treatment heterogeneous effects ICML 2023 Difference-in-Differences Meets Tree-based Methods: Heterogeneous Treatment Effects Estimation with Unmeasured Confounding ICML 2023 Direct Heterogeneous Causal Learning for Resource Allocation Problems in Marketing AAAI 2023 Estimating Heterogeneous Treatment Effects: Mutual Information Bounds and Learning Algorithms ICML 2023