Reviews: Lifelong Learning with Weighted Majority Votes

From my very personal point of view, the lifelong learning paradigm is a vague concept and is sometimes evoked for studying different scenarios that can be named otherwise (like transfer learning). However, I think that the framework studied here (from Balcan et al., 2015) is a very pertinent "lifelong problem". The authors present an honest work in the right direction. The proofs are not trivial but, as I explain below, the contribution appears to me insufficient for NIPS. The risk bound minimized by the learning algorithm may be very high, as it relies on the VC-dimension of the predictors.