Reviews: Dual Space Gradient Descent for Online Learning

The rebuttal answered all my technical questions, in particular the one about probability and expectations in Theorems 1(ii) and 3. My scores (which were given assuming the technicalities can be fixed) remain the same. The theoretical results do not feel that exciting. The regret bounds seem more or less what one might expect, and there is no comparison to bounds for other algorithms. I understand that there are no directly comparable bounds since you have both budget size and dimensionality of random projections as significant parameters, but still some discussion would be nice. The dependence on budget B in your bounds could perhaps be pointed out more explicitly.