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01/29/2022
SMGRL: A Scalable Multi-resolution Graph Representation Learning Framework
Graph convolutional networks (GCNs) allow us to learn topologically-awar...
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06/15/2020
Differentially Private Median Forests for Regression and Classification
Random forests are a popular method for classification and regression du...
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03/01/2020
Federating Recommendations Using Differentially Private Prototypes
Machine learning methods allow us to make recommendations to users in ap...
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05/28/2019
Dynamic Nonparametric Edge-Clustering Model for Time-Evolving Sparse Networks
Interaction graphs, such as those recording emails between individuals o...
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06/07/2018
Scalable Bayesian Nonparametric Clustering and Classification
We develop a scalable multi-step Monte Carlo algorithm for inference und...
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11/20/2012
A survey of non-exchangeable priors for Bayesian nonparametric models
Dependent nonparametric processes extend distributions over measures, su...
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11/20/2012
A unifying representation for a class of dependent random measures
We present a general construction for dependent random measures based on...
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09/05/2012
Restricting exchangeable nonparametric distributions
Distributions over exchangeable matrices with infinitely many columns, s...
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08/22/2012
A non-parametric mixture model for topic modeling over time
A single, stationary topic model such as latent Dirichlet allocation is ...
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06/27/2012
