Aug 02, 2017

The kind of math that would be necessary to understand papers like [1][2][3][4].

[1]: [2]: [3]: [4]:

May 06, 2017

It's not so much that there's just one or two specific results, but rather that there's just far more researchers working on this now, and quite a few are working on more theoretical stuff. Sometimes, that theory results in really practical outcomes - a good example would be . Or another by the same researcher: .

We've seen, in the last year or two, interesting results in nearly every area of theoretical research of deep learning, including generalization, optimization, generative modelling, bayesian models, and network architecture.