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05/04/2023
Semisupervised regression in latent structure networks on unknown manifolds
Random graphs are increasingly becoming objects of interest for modeling...
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09/09/2021
Popularity Adjusted Block Models are Generalized Random Dot Product Graphs
We connect two random graph models, the Popularity Adjusted Block Model ...
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06/18/2020
Rehabilitating Isomap: Euclidean Representation of Geodesic Structure
Manifold learning techniques for nonlinear dimension reduction assume th...
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04/15/2020
Learning 1-Dimensional Submanifolds for Subsequent Inference on Random Dot Product Graphs
A random dot product graph (RDPG) is a generative model for networks in ...
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03/20/2019
Approximate Information Tests on Statistical Submanifolds
Parametric inference posits a statistical model that is a specified fami...
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12/29/2017
Identifiability of two-component skew normal mixtures with one known component
We give sufficient identifiability conditions for estimating mixing prop...
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01/08/2016
Nonparametric semi-supervised learning of class proportions
The problem of developing binary classifiers from positive and unlabeled...
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02/11/2015