Review for NeurIPS paper: Black-Box Optimization with Local Generative Surrogates

Additional Feedback: Introduction: The focus of this work seems to be on cases where the inputs are stochastic and the simulator are stochastic. This would be equally applicable to scenarios which were deterministic but otherwise non differentiable right? One related work that comes to mind is related to sobolev training. It's a bit different in motivation and setup but might be nice to cite. The introduction is generally well motivated and concise.