Reviews: Reconstructing Parameters of Spreading Models from Partial Observations

Very interesting and well written paper, which deals with an important problem when learning diffusion models: it may be impossible to observe the activity of every node of the network. For instance, if the source is Twitter, the streaming API only allows one to monitor the activity of about 4000 users over several millions. The proposed approach is elegant and well sounded. I enjoyed to review this paper that brought me new knowledge about learning in such complex situations. The proposal is maybe not too much innovative since it mostly employs already published techniques, but from my point of view the followed methodology deserves to be published in some main machine learning venue, at least for its pedagogical aspect.