103 citations · 268 across the 27 of their papers we have counts for
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stat.ML2023★ 1 cited
Manifold learning: what, how, and why
Marina Meilă, Hanyu Zhang
Manifold learning (ML), known also as non-linear dimension reduction, is a set of methods to find the low dimensional structure of data. Dimension reduction for large, high dimensi…
cs.LG2023
Dictionary-based Manifold Learning
Hanyu Zhang, Samson Koelle, Marina Meila
We propose a paradigm for interpretable Manifold Learning for scientific data analysis, whereby we parametrize a manifold with smooth functions from a scientist-provided dictio…
stat.ML2023
The Parametric Stability of Well-separated Spherical Gaussian Mixtures
Hanyu Zhang, Marina Meila
We quantify the parameter stability of a spherical Gaussian Mixture Model (sGMM) under small perturbations in distribution space. Namely, we derive the first explicit bound to show…