Grid search is nothing like a uniform prior since you would never get a grid search-like set of test points in a sample from a uniform prior.

I didn't really want to write a list of criticism for what is presumably a smart and earnest gentleman and the similarly smart and earnest woman who summarized the tips from his talk, but here goes:

The H2O architecture looks like a great way to get a marginal benefit from lots of computers and is not something that actually solves the parallelization problem well at all.

Using reconstruction error of an autoencoder for anomaly detection is wrong and dangerous so it is a bad example to use in a talk.

Adadelta isn't necessary and great results can be obtained with much simpler techniques. It is a perfectly good thing to use, but it isn't a great tip in my mind. This isn't something I would put on a list of tips.

In general, the list of tips doesn't just doesn't seem very helpful.