32 citations · 42 across the 3 of their papers we have counts for
3 papers
stat.ML2017★ 32 cited
Unperturbed: spectral analysis beyond Davis-Kahan
Justin Eldridge, Mikhail Belkin, Yusu Wang
Classical matrix perturbation results, such as Weyl's theorem for eigenvalues and the Davis-Kahan theorem for eigenvectors, are general purpose. These classical bounds are tight in…
stat.ML2016
Graphons, mergeons, and so on!
Justin Eldridge, Mikhail Belkin, Yusu Wang
In this work we develop a theory of hierarchical clustering for graphs. Our modeling assumption is that graphs are sampled from a graphon, which is a powerful and general model for…
stat.ML2015★ 10 cited
Beyond Hartigan Consistency: Merge Distortion Metric for Hierarchical Clustering
Justin Eldridge, Mikhail Belkin, Yusu Wang
Hierarchical clustering is a popular method for analyzing data which associates a tree to a dataset. Hartigan consistency has been used extensively as a framework to analyze such c…