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Heterogeneous Treatment Effect Estimation

Heterogeneous treatment effect (HTE) estimation is the task of quantifying how treatment effects vary across different individuals or subgroups.

Papers

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Showing 1–25 of 38 papers

TitleStatusHype
CausalPFN: Amortized Causal Effect Estimation via In-Context LearningCode2
Exploring Transformer Backbones for Heterogeneous Treatment Effect EstimationCode1
On Inductive Biases for Heterogeneous Treatment Effect EstimationCode1
Quasi-Oracle Estimation of Heterogeneous Treatment EffectsCode1
Estimating individual treatment effect: generalization bounds and algorithmsCode1
TabPFN: One Model to Rule Them All?Code0
Discretion in the Loop: Human Expertise in Algorithm-Assisted College Advising—0
Dynamic Regularized CBDT: Variance-Calibrated Causal Boosting for Interpretable Heterogeneous Treatment Effects—0
Class flipping for uplift modeling and Heterogeneous Treatment Effect estimation on imbalanced RCT data—0
Is merging worth it? Securely evaluating the information gain for causal dataset acquisition—0
Stable Heterogeneous Treatment Effect Estimation across Out-of-Distribution PopulationsCode0
Deep Learning for Causal Inference: A Comparison of Architectures for Heterogeneous Treatment Effect Estimation—0
Differentiable Pareto-Smoothed Weighting for High-Dimensional Heterogeneous Treatment Effect EstimationCode0
Heterogeneous treatment effect estimation with subpopulation identification for personalized medicine in opioid use disorder—0
Individualized Multi-Treatment Response Curves Estimation using RBF-net with Shared NeuronsCode0
Heterogeneous treatment effect estimation with high-dimensional data in public policy evaluation -- an application to the conditioning of cash transfers in Morocco using causal machine learning—0
Uncertainty Quantification in Heterogeneous Treatment Effect Estimation with Gaussian-Process-Based Partially Linear ModelCode0
Fairness Implications of Heterogeneous Treatment Effect Estimation with Machine Learning Methods in Policy-making—0
Meta-learning for heterogeneous treatment effect estimation with closed-form solvers—0
Understanding the Impact of Competing Events on Heterogeneous Treatment Effect Estimation from Time-to-Event DataCode0
In Search of Insights, Not Magic Bullets: Towards Demystification of the Model Selection Dilemma in Heterogeneous Treatment Effect EstimationCode0
Data-Driven Estimation of Heterogeneous Treatment Effects—0
Heterogeneous Treatment Effect Estimation for Observational Data using Model-based Forests—0
Improving Data-driven Heterogeneous Treatment Effect Estimation Under Structure UncertaintyCode0
Benchmarking Heterogeneous Treatment Effect Models through the Lens of Interpretability—0
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