2020
Causal Inference using Gaussian Processes with Structured Latent Confounders
ICML 2020poster
Latent confounders—unobserved variables that influence both treatment and outcome—can bias estimates of causal effects. In some cases, these confounders are shared across observations, e.g. all students taking a course are influenced by the course’s difficulty in addition to any educational interven…