Just like you say, I've also recently found it much harder to google for survey articles too. I know they do exist somewhere, but I can't seem to find the magic words I need to enter into the search bar!
We seem to be returning to a world where the only reliable way to find information is to stumble upon someone's webpage (e.g. [1]) who has curated a list of links.
But what works for traditional statistics (like matrix inversion) tends to have the wrong big-O for big data. Would be nice though if there were a website somewhere that summarized the state of the ML-applicable optimization field with links to papers in order of increasing complexity. Instead there are like a billion websites rehashing basic SGD that seem to dominate search results.
Although I guess most of the easy to use methods like Adam are already baked into all the frameworks.