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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
Estimating individual treatment effect: generalization bounds and algorithmsCode1
Quasi-Oracle Estimation of Heterogeneous Treatment EffectsCode1
Learning Triggers for Heterogeneous Treatment EffectsCode0
Local Linear ForestsCode0
Generalized Random ForestsCode0
Non-Parametric Inference Adaptive to Intrinsic DimensionCode0
Some methods for heterogeneous treatment effect estimation in high-dimensionsCode0
Stable Heterogeneous Treatment Effect Estimation across Out-of-Distribution PopulationsCode0
TabPFN: One Model to Rule Them All?Code0
Uncertainty Quantification in Heterogeneous Treatment Effect Estimation with Gaussian-Process-Based Partially Linear ModelCode0
Differentiable Pareto-Smoothed Weighting for High-Dimensional Heterogeneous Treatment Effect EstimationCode0
Understanding the Impact of Competing Events on Heterogeneous Treatment Effect Estimation from Time-to-Event DataCode0
Counterfactual Learning to Rank using Heterogeneous Treatment Effect EstimationCode0
Improving Data-driven Heterogeneous Treatment Effect Estimation Under Structure UncertaintyCode0
Individualized Multi-Treatment Response Curves Estimation using RBF-net with Shared NeuronsCode0
In Search of Insights, Not Magic Bullets: Towards Demystification of the Model Selection Dilemma in Heterogeneous Treatment Effect EstimationCode0
Heterogeneous Treatment Effect Estimation using machine learning for Healthcare application: tutorial and benchmark—0
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
Class flipping for uplift modeling and Heterogeneous Treatment Effect estimation on imbalanced RCT data—0
Data-Driven Estimation of Heterogeneous Treatment Effects—0
Deep Learning for Causal Inference: A Comparison of Architectures for Heterogeneous Treatment Effect Estimation—0
Discretion in the Loop: Human Expertise in Algorithm-Assisted College Advising—0
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