226d1f15ecd35f784d2a20c3ecf56d7f-Reviews.html
–Neural Information Processing Systems
R2/R3: 'To better judge the performance of the proposed method, it would be useful to include comparisons against existing approaches to the problem such as [Meeds et al., NIPS 2007] and [Bittdorf et al., NIPS 2012]' We have meanwhile conducted an experimental comparison to the LP approach of Bittdorf et al. in the separable setting with binary T. We have found that our approach is more robust to noise, and we plan to add these results in the final version. The model of Meeds et al. involves two binary factors in a three-factor factorization and is hence different from our factorization model. A comparison can still be performed when running our approach in a two-step manner. Provided that code can be obtained from Meeds et al, such a comparison would be included in the final version. Please note that the paper already contains a comparison to two methods based on alternating optimization (a standard approach to NMF), adapted to our specific factorization problem.
Neural Information Processing Systems
Oct-3-2025, 07:36:35 GMT