Here we show that, far from being a triviality or nuisance that is convenient to ignore, this error has profound importance to V AE, both qualitative and quantitative.

However, models are rarely well-specified in practice.

The Sinkhorn "distance," a variant of the Wasserstein distance with entropic regularization, is an increasingly popular tool in machine learning and statistical inference.

Its simplicity also raises many practical and theoretical questions about the task-relations it can exploit and the settings in which it can succeed.

In this work, we use the same setting as Saxe et al. [2018]: a regression problem with least-squares

R that satisfy the inequality f (S) + f ( T) f (S T) + f (S T) for S,T [N ] .

Providing feedback is an integral part of teaching. Most open online courses on programming make use of automated grading systems to support programming assignments and give real-time feedback.

A well-studied problem in machine learning and numerical linear algebra, with applications to recommendation systems, text mining, and computer vision, is that of computing a low-rank approximation of a matrix.

Neural Information Processing Systems http://nips.cc/

We thank the reviewers for their thoughtful and constructive feedback. The reviewer notes that the proposed conditional convolution method is novel and shows promising results. The reviewer suggests that results would be more convincing if tested on more network structures. The reviewer suggests we compare our approach with squeeze-and-excite (SE). A1 performance, which includes SE layers.