Optimal transport for treatment effect estimation
Estimating individual treatment effects from observational data is challenging due to
treatment selection bias. Prevalent methods mainly mitigate this issue by aligning different …
treatment selection bias. Prevalent methods mainly mitigate this issue by aligning different …
Optimal Transport for Treatment Effect Estimation
H Wang, J Fan, Z Chen, H Li, W Liu, T Liu, Q Dai… - … -seventh Conference on … - openreview.net
Estimating individual treatment effects from observational data is challenging due to
treatment selection bias. Prevalent methods mainly mitigate this issue by aligning different …
treatment selection bias. Prevalent methods mainly mitigate this issue by aligning different …
Optimal transport for treatment effect estimation
H Wang, Z Chen, J Fan, H Li, T Liu, W Liu… - Proceedings of the 37th …, 2023 - dl.acm.org
Estimating conditional average treatment effect from observational data is highly challenging
due to the existence of treatment selection bias. Prevalent methods mitigate this issue by …
due to the existence of treatment selection bias. Prevalent methods mitigate this issue by …
Optimal Transport for Treatment Effect Estimation
H Wang, Z Chen, J Fan, H Li, T Liu, W Liu, Q Dai… - arXiv preprint arXiv …, 2023 - arxiv.org
Estimating conditional average treatment effect from observational data is highly challenging
due to the existence of treatment selection bias. Prevalent methods mitigate this issue by …
due to the existence of treatment selection bias. Prevalent methods mitigate this issue by …
Optimal Transport for Treatment Effect Estimation
H Wang, Z Chen, J Fan, H Li, T Liu, W Liu… - arXiv e …, 2023 - ui.adsabs.harvard.edu
Estimating conditional average treatment effect from observational data is highly challenging
due to the existence of treatment selection bias. Prevalent methods mitigate this issue by …
due to the existence of treatment selection bias. Prevalent methods mitigate this issue by …