NeurIPS 2019
Sun Dec 8th through Sat the 14th, 2019 at Vancouver Convention Center
Paper ID:859
Title:Unconstrained Monotonic Neural Networks

The paper introduces a new approach to model monotonic functions by integrating the output of a non-negative neural network. All reviewers thought the idea is interesting, original, and worth pursuing. In particular, it does seem to offer more flexibility compared to existing approaches. Please revise some of the claims on the expressiveness (compared to existing work) as suggested by the reviewers. If possible, more thorough experiments could better demonstrate the effectiveness of the approach (reviewer 1 provided some great suggestions).