26 citations · 136 across the 23 of their papers we have counts for
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stat.ML2026
Spectral Concentration and Recovery in Sparse High-Dimensional Random Geometric Graphs
Manuel Fernandez, Yizhe Zhu
We study sparse threshold random geometric graphs generated by high-dimensional spherical or Gaussian latent vectors. Although each edge has marginal probability , shared latent…
stat.ML2023
Spectral gap-based deterministic tensor completion
Kameron Decker Harris, Oscar López, Angus Read +1
Tensor completion is a core machine learning algorithm used in recommender systems and other domains with missing data. While the matrix case is well-understood, theoretical result…
stat.ML2019★ 7 cited
Deterministic tensor completion with hypergraph expanders
Kameron Decker Harris, Yizhe Zhu
We provide a novel analysis of low-rank tensor completion based on hypergraph expanders. As a proxy for rank, we minimize the max-quasinorm of the tensor, which generalizes the max…