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08/28/2020
HOPES – An Integrative Digital Phenotyping Platform for Data Collection, Monitoring and Machine Learning
We describe the development of, and early experiences with, comprehensiv...
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08/17/2019
Black-box constructions for exchangeable sequences of random multisets
We develop constructions for exchangeable sequences of point processes t...
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06/22/2019
Scalable Bayesian dynamic covariance modeling with variational Wishart and inverse Wishart processes
We implement gradient-based variational inference routines for Wishart a...
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05/11/2019
Variational inference for neural network matrix factorization and its application to stochastic blockmodeling
We consider the probabilistic analogue to neural network matrix factoriz...
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02/27/2017
Bayesian inference on random simple graphs with power law degree distributions
We present a model for random simple graphs with a degree distribution t...
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12/08/2015
Gibbs-type Indian buffet processes
We investigate a class of feature allocation models that generalize the ...
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12/31/2013