Hacker News Reader

I am well versed in the usual theories of learning (PAC, SQ-learning, learning with membership and equivalence queries, etc.)

Can anyone comment on how this relates to those standard models? There does not appear to be any mention in the paper of the standard learning models, and as a result I'm inclined to think this paper is not worth reading.

View on HN

On a veeeery quick skim I think it's a Bayesian generative model for deep learning architectures. I thought Zoubin Ghahramani's group already had done some similar work, but :shrug: it's not my field.

To clarify, it has been studied in Zoubin Ghahramani's group [1] (and also more recently in Ryan Adam's group [2]), and it's most widely known through Radford Neal [3] who's won a lot of competitions using the Bayesian approach to NNs.

[1] http://mlg.eng.cam.ac.uk

[2] http://hips.seas.harvard.edu

[3] http://www.cs.utoronto.ca/~radford/res-neural.html

Reply on news.ycombinator.com