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cs.LG2025
Gaussian and Non-Gaussian Universality of Data Augmentation
Kevin Han Huang, Peter Orbanz, Morgane Austern
We provide universality results that quantify how data augmentation affects the variance and limiting distribution of estimates through simple surrogates, and analyze several speci…
cs.LG2025
Perfect Recovery for Random Geometric Graph Matching with Shallow Graph Neural Networks
Suqi Liu, Morgane Austern
We study the graph matching problem in the presence of vertex feature information using shallow graph neural networks. Specifically, given two graphs that are independent perturbat…