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papers

Publications (29)

stat.ML2018

On consistent vertex nomination schemes

Vince Lyzinski, Keith Levin, Carey E. Priebe

stat.ML2017

Information Recovery in Shuffled Graphs via Graph Matching

Vince Lyzinski

stat.ML2018

Seeded Graph Matching

Donniell E. Fishkind, Sancar Adali, Heather G. Patsolic +4

stat.ML2019

Matched Filters for Noisy Induced Subgraph Detection

Daniel L. Sussman, Youngser Park, Carey E. Priebe +1

cs.DC2016

Semi-External Memory Sparse Matrix Multiplication for Billion-Node Graphs

Da Zheng, Disa Mhembere, Vince Lyzinski +3

stat.ML2016

On the Consistency of the Likelihood Maximization Vertex Nomination Scheme: Bridging the Gap Between Maximum Likelihood Estimation and Graph Matching

Vince Lyzinski, Keith Levin, Donniell E. Fishkind +1

stat.ML2015

Graph Matching: Relax at Your Own Risk

Vince Lyzinski, Donniell Fishkind, Marcelo Fiori +3

math.ST2015

A nonparametric two-sample hypothesis testing problem for random dot product graphs

Minh Tang, Avanti Athreya, Daniel L. Sussman +2

math.PR2015

Strong Stationary Duality for Diffusion Processes

James Allen Fill, Vince Lyzinski

math.OC2014

Fast Approximate Quadratic Programming for Large (Brain) Graph Matching

Joshua T. Vogelstein, John M. Conroy, Vince Lyzinski +6

math.ST2019

Matchability of heterogeneous networks pairs

Vince Lyzinski, Daniel L. Sussman

stat.ML2015

Perfect Clustering for Stochastic Blockmodel Graphs via Adjacency Spectral Embedding

Vince Lyzinski, Daniel Sussman, Minh Tang +2

math.ST2013

A central limit theorem for scaled eigenvectors of random dot product graphs

Avanti Athreya, Vince Lyzinski, David J. Marchette +3

stat.ME2017

Statistical inference on random dot product graphs: a survey

Avanti Athreya, Donniell E. Fishkind, Keith Levin +7

stat.CO2018

Tractable Graph Matching via Soft Seeding

Fei Fang, Daniel L. Sussman, Vince Lyzinski

math.PR2012

Hitting times and interlacing eigenvalues: a stochastic approach using intertwinings

James Allen Fill, Vince Lyzinski

stat.ME2015

A semiparametric two-sample hypothesis testing problem for random dot product graphs

Minh Tang, Avanti Athreya, Daniel L. Sussman +2

stat.ML2016

Scalable Out-of-Sample Extension of Graph Embeddings Using Deep Neural Networks

Aren Jansen, Gregory Sell, Vince Lyzinski

math.CO2012

Sharp Threshold Asymptotics for the Emergence of Additive Bases

Anant Godbole, Chang Mou Lim, Vince Lyzinski +1

math.OC2014

Seeded graph matching for correlated Erdős-Rényi graphs

Vince Lyzinski, Donniell E. Fishkind, Carey E. Priebe

stat.ME2019

A central limit theorem for an omnibus embedding of multiple random graphs and implications for multiscale network inference

Keith Levin, Avanti Athreya, Minh Tang +3

math.PR2013

Logarithmic Representability of Integers as k-Sums

Anant P. Godbole, Samuel Gutekunst, Vince Lyzinski +1

stat.ML2016

Fast Embedding for JOFC Using the Raw Stress Criterion

Vince Lyzinski, Youngser Park, Carey E. Priebe +1

stat.ML2015

Spectral Clustering for Divide-and-Conquer Graph Matching

Vince Lyzinski, Daniel L. Sussman, Donniell E. Fishkind +5

stat.ML2017

Semiparametric spectral modeling of the Drosophila connectome

Carey E. Priebe, Youngser Park, Minh Tang +8

stat.ML2016

Laplacian Eigenmaps from Sparse, Noisy Similarity Measurements

Keith Levin, Vince Lyzinski

stat.ML2016

Community Detection and Classification in Hierarchical Stochastic Blockmodels

Vince Lyzinski, Minh Tang, Avanti Athreya +2

stat.AP2015

A Joint Graph Inference Case Study: the C.elegans Chemical and Electrical Connectomes

Li Chen, Joshua T. Vogelstein, Vince Lyzinski +1

stat.ML2019

On a 'Two Truths' Phenomenon in Spectral Graph Clustering

Carey E. Priebe, Youngser Park, Joshua T. Vogelstein +6