Gary L. Miller

Carnegie Mellon University

H-index: 64

North America-United States

Gary L. Miller, With an exceptional h-index of 64 and a recent h-index of 29 (since 2020), a distinguished researcher at Carnegie Mellon University,

His recent articles reflect a diverse array of research interests and contributions to the field:

Spectral Clustering on Large Datasets: When Does it Work? Theory from Continuous Clustering and Density Cheeger-Buser

Metric transforms and low rank matrices via representation theory of the real hyperrectangle

Finding Cut On Spectral-Hard Graphs Using Local Algorithms

Weighted Cheeger and Buser Inequalities, with Applications to Clustering and Cutting Probability Densities

Weighted Cheeger-Buser inequalities, with applications to cutting probability densities-as easy as 1, 2, 3

Exact computation of a manifold metric, via lipschitz embeddings and shortest paths on a graph

Title	Journal	Author(s)	Publication Date
Spectral Clustering on Large Datasets: When Does it Work? Theory from Continuous Clustering and Density Cheeger-Buser	arXiv preprint arXiv:2305.06541	Timothy Chu Gary Miller Noel Walkington	2023/5/11
Metric transforms and low rank matrices via representation theory of the real hyperrectangle	arXiv preprint arXiv:2011.11503	Josh Alman Timothy Chu Gary Miller Shyam Narayanan Mark Sellke ...	2020/11/23
Finding Cut On Spectral-Hard Graphs Using Local Algorithms		Lichen Zhang Gary L Miller Andy Yang Tian Luo	2020/5/11
Weighted Cheeger and Buser Inequalities, with Applications to Clustering and Cutting Probability Densities	arXiv preprint arXiv:2004.09589	Timothy Chu Gary L Miller Noel J Walkington Alex L Wang	2020/4/20
Weighted Cheeger-Buser inequalities, with applications to cutting probability densities-as easy as 1, 2, 3	arXiv preprint arXiv:2004.09589	Timothy Chu G Miller N Walkington A Wang	2020/4
Exact computation of a manifold metric, via lipschitz embeddings and shortest paths on a graph		Timothy Chu Gary L Miller Donald R Sheehy	2020

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