I like this post. It’s a simple idea that was original to me, and seems to basically work.
In particular, it seems able to discover things about a model we might not have expected. I generally think that each additional unsupervised technique, ie that can discover unexpected insights, is valuable, because each additional technique is another shot on goal that might find what’s really going on. So the more the better!
I have not, in practice, seen MELBO used that much, which is a shame. But I think the core idea seems sound
I like this post. It’s a simple idea that was original to me, and seems to basically work.
In particular, it seems able to discover things about a model we might not have expected. I generally think that each additional unsupervised technique, ie that can discover unexpected insights, is valuable, because each additional technique is another shot on goal that might find what’s really going on. So the more the better!
I have not, in practice, seen MELBO used that much, which is a shame. But I think the core idea seems sound