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07/04/2023
Minimax rates for latent position estimation in the generalized random dot product graph
Latent space models play an important role in the modeling and analysis ...
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12/22/2022
Estimating network-mediated causal effects via spectral embeddings
The last several years have seen a renewed and concerted effort to incor...
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10/31/2022
Prediction of Network Covariates Using Edge and Node Attributes
In this work we consider the setting where many networks are observed on...
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09/06/2022
Fast Generation of Exchangeable Sequence of Clusters Data
Recent advances in Bayesian models for random partitions have led to the...
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04/29/2020
On the role of features in vertex nomination: Content and context together are better (sometimes)
Vertex nomination is a lightly-supervised network information retrieval ...
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10/16/2019
Matrix Means and a Novel High-Dimensional Shrinkage Phenomenon
Many statistical settings call for estimating a population parameter, mo...
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09/29/2019
Limit theorems for out-of-sample extensions of the adjacency and Laplacian spectral embeddings
Graph embeddings, a class of dimensionality reduction techniques designe...
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07/25/2019
Bootstrapping Networks with Latent Space Structure
A core problem in statistical network analysis is to develop network ana...
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06/13/2019
Recovering low-rank structure from multiple networks with unknown edge distributions
In increasingly many settings, particularly in neuroimaging, data sets c...
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02/17/2018
Out-of-sample extension of graph adjacency spectral embedding
Many popular dimensionality reduction procedures have out-of-sample exte...
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02/14/2018
Vertex nomination: The canonical sampling and the extended spectral nomination schemes
Suppose that one particular block in a stochastic block model is deemed ...
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11/15/2017
On consistent vertex nomination schemes
Given a vertex of interest in a network G_1, the vertex nomination probl...
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09/16/2017
Statistical inference on random dot product graphs: a survey
The random dot product graph (RDPG) is an independent-edge random graph ...
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06/12/2017
Query-by-Example Search with Discriminative Neural Acoustic Word Embeddings
Query-by-example search often uses dynamic time warping (DTW) for compar...
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07/05/2016
On the Consistency of the Likelihood Maximization Vertex Nomination Scheme: Bridging the Gap Between Maximum Likelihood Estimation and Graph Matching
Given a graph in which a few vertices are deemed interesting a priori, t...
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03/12/2016