Causal Fine-Tuning under Latent Confounded Shift

Jialin Yu, Yuxiang Zhou, Haoxuan Li +6

Adapting to latent confounded shift remains a core challenge in modern AI. This setting is driven by hidden variables that induce spurious correlations between inputs and outputs d…