2 papers
stat.ML2026
On the convergence of graph Laplacians with a symmetric divergence
Liane Xu
When analyzing a manifold learning algorithm for data lying on a smooth, compact, connected Riemannian submanifold of , a key estimate for the geod…
cs.LG2025
Manifold learning in metric spaces
Liane Xu, Amit Singer
Laplacian-based methods are popular for the dimensionality reduction of data lying in . Several theoretical results for these algorithms depend on the fact that the E…