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04/20/2023
B-Learner: Quasi-Oracle Bounds on Heterogeneous Causal Effects Under Hidden Confounding
Estimating heterogeneous treatment effects from observational data is a ...
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09/21/2022
Adaptive Bias Correction for Improved Subseasonal Forecasting
Subseasonal forecasting x2013 predicting temperature and precipitation 2...
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05/23/2022
Robust and Agnostic Learning of Conditional Distributional Treatment Effects
The conditional average treatment effect (CATE) is the best point predic...
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09/21/2021
Learned Benchmarks for Subseasonal Forecasting
We develop a subseasonal forecasting toolkit of simple learned benchmark...
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03/15/2021
Estimating the Long-Term Effects of Novel Treatments
Policy makers typically face the problem of wanting to estimate the long...
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05/24/2019
Machine Learning Estimation of Heterogeneous Treatment Effects with Instruments
We consider the estimation of heterogeneous treatment effects with arbit...
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06/09/2018
Orthogonal Random Forest for Heterogeneous Treatment Effect Estimation
We study the problem of estimating heterogeneous treatment effects from ...
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04/11/2018
