Thanks for the reference. Andrew would love this quote from the slides:
You don’t want to think too hard about your prior. The bad effects of bad priors may be greater in high dimensions.
I’d think that’d make you want to think harder, not less hard!
I couldn’t quite follow the language of the rest of it, but it looks like binary problems and it looks like they did some dimensionality reduction up front, but maybe I misunderstood—there’s about two dozen techniques mentioned in there.
I perhaps overstepped trying to do all 10 digits for MNIST. Binary would be much easier.