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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 31–38 of 38 papers

Title	Date	Tasks	Status	Hype
Differentiable Pareto-Smoothed Weighting for High-Dimensional Heterogeneous Treatment Effect Estimation	Apr 26, 2024	Heterogeneous Treatment Effect EstimationRepresentation Learning	CodeCode Available	0
Generalized Random Forests	Oct 5, 2016	Heterogeneous Treatment Effect Estimationquantile regression	CodeCode Available	0
Counterfactual Learning to Rank using Heterogeneous Treatment Effect Estimation	Jul 19, 2020	counterfactualHeterogeneous Treatment Effect Estimation	CodeCode Available	0
Some methods for heterogeneous treatment effect estimation in high-dimensions	Jul 1, 2017	Heterogeneous Treatment Effect EstimationVocal Bursts Intensity Prediction	CodeCode Available	0
Stable Heterogeneous Treatment Effect Estimation across Out-of-Distribution Populations	Jul 3, 2024	counterfactualHeterogeneous Treatment Effect Estimation	CodeCode Available	0
TabPFN: One Model to Rule Them All?	May 26, 2025	AllBayesian Inference	CodeCode Available	0
Improving Data-driven Heterogeneous Treatment Effect Estimation Under Structure Uncertainty	Jun 25, 2022	Decision Makingfeature selection	CodeCode Available	0
Individualized Multi-Treatment Response Curves Estimation using RBF-net with Shared Neurons	Jan 29, 2024	Heterogeneous Treatment Effect Estimation	CodeCode Available	0

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