17 citations · 17 across the 8 of their papers we have counts for
Showing stat.MLShow all
3 papers · 1 filter
stat.ML2026
A Subsampled Davis-Kahan Bound for Large-Scale Eigenspace Estimation
Huan Qing
The Davis-Kahan theorem is a fundamental tool in spectral analysis, providing quantitative control over the distance between the eigenspaces of a symmetric matrix and its perturbat…
stat.ML2026
Fast estimation of Gaussian mixture components via centering and singular value thresholding
Huan Qing
Estimating the number of components is a fundamental challenge in unsupervised learning, particularly when dealing with high-dimensional data with many components or severely imbal…
stat.ML2026
Individual-heterogeneous sub-Gaussian Mixture Models
Huan Qing
The classical Gaussian mixture model assumes homogeneity within clusters, an assumption that often fails in real-world data where observations naturally exhibit varying scales or i…