Data-Driven and Cycle-Agnostic Covariate Selection for Nonparametric Causal Effect Estimation

Ana Leticia Garcez Vicente, Gijs van Seeventer, Saber Salehkaleybar

Estimating causal effects from observational data requires identifying valid adjustment sets. This task is especially challenging in realistic settings where latent confounding and…