3 papers
cs.LG2026
Fused Gromov-Wasserstein Distance with Feature Selection
Harlin Lee, Ying Yu, Mingxin Li +1
Fused Gromov-Wasserstein (FGW) distances provide a principled framework for comparing objects by jointly aligning structure and node features. However, existing FGW formulations tr…
math.OC2025
Generalized Dimension Reduction Using Semi-Relaxed Gromov-Wasserstein Distance
Ranthony A. Clark, Tom Needham, Thomas Weighill
Dimension reduction techniques typically seek an embedding of a high-dimensional point cloud into a low-dimensional Euclidean space which optimally preserves the geometry of the in…
cs.CY2025
Empirical Power Analysis of a Statistical Test to Quantify Gerrymandering
Ranthony A. Clark, Susan Glenn, Harlin Lee +1
Gerrymandering is a pervasive problem within the US political system. In the past decade, methods based on Markov Chain Monte Carlo (MCMC) sampling and statistical outlier tests ha…