1 citations · 1 across the 2 of their papers we have counts for
2 papers
stat.ML2023
Statistical Analysis of Karcher Means for Random Restricted PSD Matrices
Hengchao Chen, Xiang Li, Qiang Sun
Non-asymptotic statistical analysis is often missing for modern geometry-aware machine learning algorithms due to the possibly intricate non-linear manifold structure. This paper s…
cs.LG2023★ 1 cited
Quadratic Matrix Factorization with Applications to Manifold Learning
Zheng Zhai, Hengchao Chen, Qiang Sun
Matrix factorization is a popular framework for modeling low-rank data matrices. Motivated by manifold learning problems, this paper proposes a quadratic matrix factorization (QMF)…