Review for NeurIPS paper: Mix and Match: An Optimistic Tree-Search Approach for Learning Models from Mixture Distributions

The reviewers generally liked this paper and also provided a number of suggestions for improvement. Please take these recommendations seriously when revising the paper. In particular, I agree with Reviewer 4 that the informal theorem statements in the main body obscure many details. Theorem 2, in particular, seems to be simultaneously too formal (do we need all these exact numeric constants?), while also obscuring important details. Overall, the ideas are interesting but I found the paper somehow a bit messy to read.