reflecting on past work – offline model-based optimisation

I’ve been thinking about offline model-based optimisation for the past six months, mostly in the background while working full-time, trying to write up something that captures both what I found and what still needs to be done in the field. It’s about validation, extrapolation, brittle surrogates, and how we evaluate generative models when the ground truth is expensive.