Tobias Hatt

Deconfounding Temporal Autoencoder: Estimating Treatment Effects over Time Using Noisy Proxies

2021 · arXiv (Cornell University)

Estimating individualized treatment effects (ITEs) from observational data is crucial for decision-making. In order to obtain unbiased ITE estimates, a common assumption is that all confounders are observed. However, in practice, it is unlikely that …