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stat.ML2023★ 1 cited
ODTlearn: A Package for Learning Optimal Decision Trees for Prediction and Prescription
Patrick Vossler, Nathan Justin, Sina Aghaei +3
ODTlearn is an open source Python package that provides methods for learning optimal decision trees for high-stakes predictive and prescriptive tasks based on the state-of-the-art…
stat.ML2021★ 2 cited
Dimension-Free Average Treatment Effect Inference with Deep Neural Networks
Xinze Du, Yingying Fan, Jinchi Lv +2
This paper investigates the estimation and inference of the average treatment effect (ATE) using deep neural networks (DNNs) in the potential outcomes framework. Under some regular…
stat.ML2018★ 2 cited
Optimal Nonparametric Inference with Two-Scale Distributional Nearest Neighbors
Emre Demirkaya, Yingying Fan, Lan Gao +3
The weighted nearest neighbors (WNN) estimator has been popularly used as a flexible and easy-to-implement nonparametric tool for mean regression estimation. The bagging technique…