Review for NeurIPS paper: Learning from Aggregate Observations

Additional Feedback: Please respond to the above comments. The experiments showed a significant improvement in accuracy in the triplet comparison, but I did not understand why. Also, the significant improvement in the triplet comparison is a good result, but what are some specific/practical examples where the triplet comparison is given? After author feedback: I appreciate the authors' feedback. The task addressed in this work is not novel, but I think it has good contributions, that is, 1) provide a clear and general formulation for learning from aggregate observations, 2) discuss the theoretical aspects of the MLE in Section 4. For publication, I would like the authors to discuss the following issues: 1) As the other reviewer mentioned, Assumption 2 seems restrictive in some situations.