[R_haterade]

I've been thinking a lot about this lately, especially as I've been learning more about the difference between "nice" optimization problems with differentiable cost functions, and "messy" optimizations with less ideal cost functions.

Is there any reading material you can recommend on the recent history of ML/AI for someone like me, with a dilettante's understanding of these problems and an interest in optimization?

[jabl]

https://arxiv.org/abs/1404.7828

(Disclaimer: I don't know that much about ML/Deep Learning, the above was recommended by deeplearning.net and is what I'm slogging through ATM. I do have some background in "classical" statistics & optimization theory, and the above article is not that math-heavy)

[R_haterade]

Thank you!