2 papers
cs.LG2025
Mitigating Prior Errors in Causal Structure Learning: A Resilient Approach via Bayesian Networks
Lyuzhou Chen, Taiyu Ban, Xiangyu Wang +2
Causal structure learning (CSL), a prominent technique for encoding cause-and-effect relationships among variables, through Bayesian Networks (BNs). Although recovering causal stru…
cs.AI2025
Integrating Large Language Model for Improved Causal Discovery
Taiyu Ban, Lyuzhou Chen, Derui Lyu +4
Recovering the structure of causal graphical models from observational data is an essential yet challenging task for causal discovery in scientific scenarios. Domain-specific causa…