no code implementations • 6 Nov 2019 • Johaness Brustle, Yang Cai, Constantinos Daskalakis
When item values are sampled from more general graphical models, we combine our robustness theorem with novel sample complexity results for learning Markov Random Fields or Bayesian Networks in Prokhorov distance, which may be of independent interest.
