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01/20/2022
Scalable k-d trees for distributed data
Data structures known as k-d trees have numerous applications in scienti...
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12/31/2021
Statistical scalability and approximate inference in distributed computing environments
Harnessing distributed computing environments to build scalable inferenc...
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12/05/2020
Robustness on Networks
We adopt the statistical framework on robustness proposed by Watson and ...
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04/15/2019
Modeling Network Populations via Graph Distances
This article introduces a new class of models for multiple networks. The...
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01/29/2014
A Spectral Framework for Anomalous Subgraph Detection
A wide variety of application domains are concerned with data consisting...
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12/17/2012
Co-clustering separately exchangeable network data
This article establishes the performance of stochastic blockmodels in ad...
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11/21/2010
Stochastic blockmodels with growing number of classes
We present asymptotic and finite-sample results on the use of stochastic...
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11/20/2009
Likelihood-based semi-supervised model selection with applications to speech processing
In conventional supervised pattern recognition tasks, model selection is...
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06/24/2009