heterogeneous treatment effect

Wasserstein Random Forests and Applications in Heterogeneous Treatment Effects AISTATS 2021 A New Framework for Online Testing of Heterogeneous Treatment Effect AAAI 2020 Minimax Optimal Nonparametric Estimation of Heterogeneous Treatment Effects NeurIPS 2020 Representation Learning for Integrating Multi-domain Outcomes to Optimize Individualized Treatment NeurIPS 2020 Robust Recursive Partitioning for Heterogeneous Treatment Effects with Uncertainty Quantification NeurIPS 2020 Balanced Linear Contextual Bandits AAAI 2019 Learning Triggers for Heterogeneous Treatment Effects AAAI 2019 Machine Learning Estimation of Heterogeneous Treatment Effects with Instruments NeurIPS 2019 Orthogonal Random Forest for Causal Inference ICML 2019 Statistical Learning with a Nuisance Component COLT 2019 Limits of Estimating Heterogeneous Treatment Effects: Guidelines for Practical Algorithm Design ICML 2018 Recursive Partitioning for Personalization using Observational Data ICML 2017