dimension selection 1network embedding 1random matrix theory 1spectral graph theory 1stochastic block models 1
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math.ST2026
Network Signflip Parallel Analysis for Selecting the Embedding Dimension
David Hong, Joshua Cape
The paper proposes a data‑driven spectral technique called NetFlipPA that determines how many dimensions to keep when embedding large heterogeneous networks by comparing eigenvalue…
math.ST2025
Extreme value theory for singular subspace estimation in the matrix denoising model
Junhyung Chang, Joshua Cape
This paper studies fine-grained singular subspace estimation in the matrix denoising model where a deterministic low-rank signal matrix is additively perturbed by a stochastic matr…