Formally, we view an architecture as aparameterizableobject--a mapping from model weights tofunctions--described byalabeleddirected acyclic graph (DAG)G(V,E).

Formally, we view an architecture as aparameterizableobject--a mapping from model weights tofunctions--described byalabeleddirected acyclic graph (DAG)G(V,E).

Archimax copulas are a family of distributions endowed with a precise representation that allows simultaneous modeling of the bulk and the tails of a distribution.

We propose a new regularization method to alleviate over-fitting in deep neural networks.