Hello!
I’m a machine learning PhD student trying to make sense out of my personal swamp of confusion. I think it’ll be helpful for my (and hopefully your) understanding for me to write short posts about what I’ve been thinking and learning about.
General questions I’m thinking about include the following:
How do we think about and deal with distribution shift?
How do we think about and deal with model uncertainty?