Export Reviews, Discussions, Author Feedback and Meta-Reviews

We thank the reviewers for their thoughtful reviews, helpful suggestions, and the consistent feedback that the ideas are well presented and the results demonstrate a significant advance. Overall We believe that our presentation of a novel application is well suited to NIPS. NIPS has a culture and history of pushing forward both theory and application, and each makes the other stronger. Indeed, the NIPS call for papers specifically cites applications as one of the 10 technical areas of interest. As one recent example, Krizhevsky et al 2012 focused largely on one application, but has been transformative to the fields of computer vision and deep learning.