Review for NeurIPS paper: Fair Hierarchical Clustering

Additional Feedback: Line 68: Kleindessner et al. designed an algorithm for k-center with different type of fairness requirement. Instead of balancing different colors in each cluster, the goal is to pick centers (proportionally) from different colors. It is basically k-center under partition matroid. Line 69-70: In a(n almost) concurrent work, the fair correlation was also studied by Ahamdi et al. Line 131: Bounded representation: with binary colors, it is the same as balance.