SOTAVerified|Agents Browse Leaderboard About

Heterogeneous Treatment Effect Estimation

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

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 31–38 of 38 papers

Title	Date	Tasks	Status	Hype
Heterogeneous Treatment Effect Estimation using machine learning for Healthcare application: tutorial and benchmark	Sep 27, 2021	BIG-bench Machine LearningCausal Inference	—Unverified	0
The Role of "Live" in Livestreaming Markets: Evidence Using Orthogonal Random Forest	Jul 4, 2021	Heterogeneous Treatment Effect Estimation	—Unverified	0
Counterfactual Learning to Rank using Heterogeneous Treatment Effect Estimation	Jul 19, 2020	counterfactualHeterogeneous Treatment Effect Estimation	CodeCode Available	0
Learning Triggers for Heterogeneous Treatment Effects	Jan 31, 2019	Heterogeneous Treatment Effect EstimationRecommendation Systems	CodeCode Available	0
Non-Parametric Inference Adaptive to Intrinsic Dimension	Jan 11, 2019	Heterogeneous Treatment Effect Estimation	CodeCode Available	0
Local Linear Forests	Jul 30, 2018	Causal InferenceHeterogeneous 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
Generalized Random Forests	Oct 5, 2016	Heterogeneous Treatment Effect Estimationquantile regression	CodeCode Available	0

Show:10 25 50

← PrevPage 4 of 4Next →

No leaderboard results yet.