Reviews: beta-risk: a New Surrogate Risk for Learning from Weakly Labeled Data

UPDATE AFTER REBUTTAL: I still feel the value of the framework isn't fully convincing. My basic issue is that for the weakly supervised scenarios that don't already have principled algorithms, the precise reason the provided formulation is superior is unclear. For example in SSL the proposed method has a very similar flavour to self-training. I like however that there is an attempt at an unified approach to a range of such problems, and it's possible that one could do something interesting with this framework in future work. On the technical side, I still don't quite get the optimisation proposed for beta (Line 144).