3 papers
math.ST2026
A Goodness-of-Fit Test for Independent Component Models in High Dimensions
Mingshuo Liu, Siyao Wang, Miles E. Lopes
Independent component (IC) models are a standard tool for representing multivariate data in statistics, signal processing, and machine learning. Despite the extensive use of IC mod…
cs.LG2025
Empirical Error Estimates for Graph Sparsification
Siyao Wang, Miles E. Lopes
Graph sparsification is a well-established technique for accelerating graph-based learning algorithms, which uses edge sampling to approximate dense graphs with sparse ones. Becaus…
math.ST2025
Testing Elliptical Models in High Dimensions
Siyao Wang, Miles E. Lopes
Due to the broad applications of elliptical models, there is a long line of research on goodness-of-fit tests for empirically validating them. However, the existing literature on t…