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Joshua Agterberg
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Year
Entrywise estimation of singular vectors of low-rank matrices with heteroskedasticity and dependence
J Agterberg, Z Lubberts, CE Priebe
IEEE Transactions on Information Theory 68 (7), 4618-4650, 2022
372022
Nonparametric two-sample hypothesis testing for random graphs with negative and repeated eigenvalues
J Agterberg, M Tang, C Priebe
arXiv preprint arXiv:2012.09828, 2020
172020
Vertex nomination, consistent estimation, and adversarial modification
J Agterberg, Y Park, J Larson, C White, CE Priebe, V Lyzinski
Electronic Journal of Statistics 14 (2), 3230-3267, 2020
172020
On two distinct sources of nonidentifiability in latent position random graph models
J Agterberg, M Tang, CE Priebe
arXiv preprint arXiv:2003.14250, 2020
142020
Valid two‐sample graph testing via optimal transport Procrustes and multiscale graph correlation with applications in connectomics
J Chung, B Varjavand, J Arroyo, A Alyakin, J Agterberg, M Tang, ...
Stat 11 (1), e429, 2022
92022
Cluster analysis application to identify groups of individuals with high health expenditures
J Agterberg, F Zhong, R Crabb, M Rosenberg
Health Services and Outcomes Research Methodology 20 (2), 140-182, 2020
92020
Estimating Higher-Order Mixed Memberships via the Tensor Perturbation Bound
J Agterberg, A Zhang
Journal of the American Statistical Association, 1-22, 2024
82024
Joint spectral clustering in multilayer degree-corrected stochastic blockmodels
J Agterberg, Z Lubberts, J Arroyo
arXiv preprint arXiv:2212.05053, 2022
82022
Entrywise recovery guarantees for sparse pca via sparsistent algorithms
J Agterberg, J Sulam
International Conference on Artificial Intelligence and Statistics, 6591-6629, 2022
72022
Spectral graph clustering via the expectation-solution algorithm
ZM Pisano, JS Agterberg, CE Priebe, DQ Naiman
Electronic Journal of Statistics 16 (1), 3135-3175, 2022
32022
An Overview of Asymptotic Normality in Stochastic Blockmodels: Cluster Analysis and Inference
J Agterberg, J Cape
arXiv preprint arXiv:2305.06353, 2023
22023
Correcting a nonparametric two-sample graph hypothesis test for graphs with different numbers of vertices with applications to connectomics
AA Alyakin, J Agterberg, HS Helm, CE Priebe
Applied Network Science 9 (1), 1, 2024
12024
Distributional theory and statistical inference for linear functions of eigenvectors with small eigengaps
J Agterberg
arXiv preprint arXiv:2308.02480, 2023
12023
Social Determinant–Based Profiles of US Adults with the Highest and Lowest Health Expenditures Using Clusters
F Zhong, M Rosenberg, J Agterberg, R Crabb
North American Actuarial Journal 25 (1), 115-133, 2020
12020
A Convex Relaxation Approach to Generalization Analysis for Parallel Positively Homogeneous Networks
UKR Tadipatri, BD Haeffele, J Agterberg, R Vidal
arXiv preprint arXiv:2411.02767, 2024
2024
Statistical Inference for Low-Rank Tensors: Heteroskedasticity, Subgaussianity, and Applications
J Agterberg, A Zhang
arXiv preprint arXiv:2410.06381, 2024
2024
ICL-TSVD: Bridging Theory and Practice in Continual Learning with Pre-trained Models
L Peng, J Elenter, J Agterberg, A Ribeiro, R Vidal
arXiv preprint arXiv:2410.00645, 2024
2024
Semisupervised regression in latent structure networks on unknown manifolds
A Acharyya, J Agterberg, MW Trosset, Y Park, CE Priebe
Applied Network Science 8 (1), 75, 2023
2023
Asymptotics and Statistical Inference in High-Dimensional Low-Rank Matrix Models
JS Agterberg
Johns Hopkins University, 2023
2023
Graph Matching: Statistical Perspectives and Structural Results
J Agterberg
2018
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Articles 1–20