Francesco Montagna

Causal Discovery Under Hard Selection Bias: A New Robust Score-Matching Approach

Selection bias is a difficult yet widespread problem in causal discovery, occurring whenever non-random selection processes lead to data that is not representative of the underlying populations. Due to its practical importance, related works have been proposed to address the problem under local [Versteeg et al., 2022]...