Aldric H. J. Yuan

SGA: A Robust Algorithm for Partial Recovery of Tree-Structured\n Graphical Models with Noisy Samples

2021 · arXiv (Cornell University)

We consider learning Ising tree models when the observations from the nodes\nare corrupted by independent but non-identically distributed noise with unknown\nstatistics. Katiyar et al. (2020) showed that although the exact tree structure\ncannot be recovered, one …