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most citedSpectral Graph Matching and Regularized Quadratic Relaxations II: Erdős-Rényi Graphs and Universality

21 citations · 129 across the 26 of their papers we have counts for

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5 papers · 1 filter

math.PR2019★ 21 cited

Spectral Graph Matching and Regularized Quadratic Relaxations II: Erdős-Rényi Graphs and Universality

Zhou Fan, Cheng Mao, Yihong Wu +1

We analyze a new spectral graph matching algorithm, GRAph Matching by Pairwise eigen-Alignments (GRAMPA), for recovering the latent vertex correspondence between two unlabeled, edg…

stat.ML2019★ 19 cited

Spectral Graph Matching and Regularized Quadratic Relaxations I: The Gaussian Model

Zhou Fan, Cheng Mao, Yihong Wu +1

Graph matching aims at finding the vertex correspondence between two unlabeled graphs that maximizes the total edge weight correlation. This amounts to solving a computationally in…

stat.ML2019★ 4 cited

Surfing: Iterative optimization over incrementally trained deep networks

Ganlin Song, Zhou Fan, John Lafferty

We investigate a sequential optimization procedure to minimize the empirical risk functional for certain families of deep network…

stat.ML2019★ 3 cited

Iterative Alpha Expansion for estimating gradient-sparse signals from linear measurements

Sheng Xu, Zhou Fan

We consider estimating a piecewise-constant image, or a gradient-sparse signal on a general graph, from noisy linear measurements. We propose and study an iterative algorithm to mi…

math.PR2019★ 1 cited

Principal components in linear mixed models with general bulk

Zhou Fan, Yi Sun, Zhichao Wang

We study the principal components of covariance estimators in multivariate mixed-effects linear models. We show that, in high dimensions, the principal eigenvalues and eigenvectors…