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08 May 2024

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Results 1 to 20 of 52 for query "Minh Tang". (0.01 sec.)

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1.

Adversarial contamination of networks in the setting of vertex nomination: a new trimming method
Sheyda Peyman; Minh Tang; Vince Lyzinski;
20 Aug 2022

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2.

Limit results for distributed estimation of invariant subspaces in multiple networks inference and PCA
Runbing Zheng; Minh Tang;
9 Jun 2022

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3.

Perturbation Analysis of Randomized SVD and its Applications to High-dimensional Statistics
Yichi Zhang; Minh Tang;
19 Mar 2022

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4.

Classification of high-dimensional data with spiked covariance matrix structure
Yin-Jen Chen; Minh Tang;
5 Oct 2021

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5.

Hypothesis Testing for Equality of Latent Positions in Random Graphs
Xinjie Du; Minh Tang;
23 May 2021

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6.

Nonparametric Two-Sample Hypothesis Testing for Random Graphs with Negative and Repeated Eigenvalues
Joshua Agterberg; Minh Tang; Carey Priebe;
17 Dec 2020

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7.

Vertex nomination between graphs via spectral embedding and quadratic programming
Runbing Zheng; Vince Lyzinski; Carey E. Priebe; Minh Tang;
24 Oct 2020

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8.

Learning 1-Dimensional Submanifolds for Subsequent Inference on Random Dot Product Graphs
Michael W. Trosset; Mingyue Gao; Minh Tang; Carey E. Priebe;
15 Apr 2020

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9.

Improving Power of 2-Sample Random Graph Tests with Applications in Connectomics
Bijan Varjavand; Jesus Arroyo; Minh Tang; Carey E. Priebe; Joshua T. Vogelstein;
7 Nov 2019

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10.

Limit theorems for out-of-sample extensions of the adjacency and Laplacian spectral embeddings
Keith Levin; Fred Roosta; Minh Tang; Michael W. Mahoney; Carey E. Priebe;
29 Sep 2019

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11.

Signal-plus-noise matrix models: eigenvector deviations and fluctuations
Joshua Cape; Minh Tang; Carey E. Priebe;
1 Feb 2018

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12.

A central limit theorem for an omnibus embedding of random dot product graphs
Keith Levin; Avanti Athreya; Minh Tang; Vince Lyzinski; Carey E. Priebe;
25 May 2017

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13.

Consistency of adjacency spectral embedding for the mixed membership stochastic blockmodel
Patrick Rubin-Delanchy; Carey E. Priebe; Minh Tang;
12 May 2017

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14.

Semiparametric spectral modeling of the Drosophila connectome
Carey E. Priebe; Youngser Park; Minh Tang; Avanti Athreya; Vince Lyzinski; Joshua T. Vogelstein; Yichen Qin; Ben Cocanougher; Katharina Eichler; Marta Zlatic; Albert Cardona;
9 May 2017

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15.

Numerical tolerance for spectral decompositions of random dot product graphs
Avanti Athreya; Minh Tang; Vince Lyzinski; Youngser Park; Bryan Lewis; Michael Kane; Carey Priebe;
1 Aug 2016

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16.

A nonparametric two-sample hypothesis testing problem for random dot product graphs
Minh Tang; Avanti Athreya; Daniel L. Sussman; Vince Lyzinski; Carey E. Priebe;
8 Sep 2014

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17.

Perfect Clustering for Stochastic Blockmodel Graphs via Adjacency Spectral Embedding
Vince Lyzinski; Daniel Sussman; Minh Tang; Avanti Athreya; Carey Priebe;
2 Oct 2013

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18.

Locality statistics for anomaly detection in time series of graphs
Heng Wang; Minh Tang; Youngser Park; Carey E. Priebe;
3 Jun 2013

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19.

A limit theorem for scaled eigenvectors of random dot product graphs
Avanti Athreya; Vince Lyzinski; David J. Marchette; Carey E. Priebe; Daniel L. Sussman; Minh Tang;
31 May 2013

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20.

Out-of-sample Extension for Latent Position Graphs
Minh Tang; Youngser Park; Carey E. Priebe;
21 May 2013

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