Recent works have revealed the role of geometric partitions and Sperner's

We study transfer learning for estimation in latent variable network models.

Many applications seek to recover low-rank approximations of noisy tensor data.

A neural network (cf. Figure 1) can be thought of as a directed acyclic network consisting of

Ideally,languagemodelswould reflect the cultural norms of various regions around the world and generate culturally appropriate content when responding inlocallanguages oftheregions, unless otherwise specified.