Reviews: Exact inference in structured prediction

Neural Information Processing Systems 

Overview: - This paper studies the conditions for exact recovery of ground-truth labels in structured prediction under some data generation assumptions. In particular, the analysis generalizes the one in Globerson et al. (2015) from grid graphs to general connected graphs, providing high-probability guarantees for exact label recovery which depend on structural properties of the graph. On the other hand, the assumed generative process (lines 89-101, proposed in Globerson et al., 2015) is somewhat toyish which might make the results less interesting. Therefore, I am inclined towards acceptance but not strongly. Comments: - I feel like the presentation can be greatly improved by including an overview of the main result at the beginning of Section 3. In particular, you can state the main result, which is actually given in Remark 2 (!), and then provide some high-level intuition on the path to prove it.