Robust Learning of Fixed-Structure Bayesian Networks

Yu Cheng, Ilias Diakonikolas, Daniel Kane +1

We investigate the problem of learning Bayesian networks in a robust model where an $\epsilon$-fraction of the samples are adversarially corrupted. In this work, we study the fully observ…