Distributionally robust structure learning for discrete pairwise markov networks
We consider the problem of learning the underlying structure of a general discrete pairwise
Markov network. Existing approaches that rely on empirical risk minimization may perform …
Markov network. Existing approaches that rely on empirical risk minimization may perform …
Optimal rates for learning hidden tree structures
We provide high probability finite sample complexity guarantees for hidden non-parametric
structure learning of tree-shaped graphical models, whose hidden and observable nodes …
structure learning of tree-shaped graphical models, whose hidden and observable nodes …