259 citations · 2.9k across the 123 of their papers we have counts for
Showing 2019 · stat.MLShow all
2 papers · 2 filters
stat.ML2019★ 1 cited
Limit theorems for out-of-sample extensions of the adjacency and Laplacian spectral embeddings
Keith Levin, Fred Roosta, Minh Tang +2
Graph embeddings, a class of dimensionality reduction techniques designed for relational data, have proven useful in exploring and modeling network structure. Most dimensionality r…
stat.ML2019
Geometric Rates of Convergence for Kernel-based Sampling Algorithms
Rajiv Khanna, Liam Hodgkinson, Michael W. Mahoney
The rate of convergence of weighted kernel herding (WKH) and sequential Bayesian quadrature (SBQ), two kernel-based sampling algorithms for estimating integrals with respect to som…