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Understanding how two datasets differ can help us determine whether onedataset under-represents certain sub-populations, and provides insights intohow well models will generalize across datasets. Representative points selectedby a maximum mean discrepency (MMD) coreset can provide interpretable summariesof a single dataset, but are not easily compared across datasets. In this paperwe introduce dependent MMD coresets, a data summarization method forcollections of datasets that facilitates comparison of distributions. We showthat dependent MMD coresets are useful for understanding multiple relateddatasets and understanding model generalization between such datasets.

Understanding collections of related datasets using dependent MMD coresets