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Papers
A Meta-learner for Heterogeneous Effects in Difference-in-Differences
ICML 2025
Double Debiased Machine Learning for Mediation Analysis with Continuous Treatments
AISTATS 2025
Integrative R-learner of heterogeneous treatment effects combining experimental and observational studies
CLeaR 2022
Statistical Learning with a Nuisance Component (Extended Abstract)
IJCAI 2020
Machine Learning Estimation of Heterogeneous Treatment Effects with Instruments
NeurIPS 2019
Statistical Learning with a Nuisance Component
COLT 2019