6 citations · 6 across the 6 of their papers we have counts for
9 papers
Spectral clustering of network time series via the sample covariance matrix
Brendan Martin, Joshua Agterberg, Mihai Cucuringu +2
Spectral clustering for community detection is analysed in multivariate time series models whose dependence structure is determined by an unobserved stochastic blockmodel. We estab…
Concentration bounds on response-based vector embeddings of black-box generative models
Aranyak Acharyya, Joshua Agterberg, Youngser Park +1
Generative models, such as large language models or text-to-image diffusion models, can generate relevant responses to user-given queries. Response-based vector embeddings of gener…
Two-Sample Hypothesis Testing for Subspace Equality in Network Data
Rajdeep Brahma, Joshua Agterberg, Yuguo Chen
In many settings one is often interested in determining whether two networks share some joint structural connectivity patterns such as communities. However, while communities may b…
Statistically and Computationally Optimal Estimation and Inference of Common Subspaces
Joshua Agterberg
Given multiple data matrices, many problems in statistics and data science rely on estimating a common subspace that captures certain structure shared by all the data matrices. In…
Statistical Inference for Linear Functions of Eigenvectors with Small Eigengaps
Joshua Agterberg
Spectral methods have myriad applications in high-dimensional statistics and data science, and while previous works have primarily focused on or eigenvec…
Nonparametric two-sample hypothesis testing for low-rank random graphs of differing sizes
Joshua Agterberg, Minh Tang, Carey Priebe
Given two networks of differing sizes, it is of interest to test whether the two networks belong to the same distribution. We formalize the notion of "equality of distribution" und…