research
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06/04/2020
Bayesian clustering of high-dimensional data
In many applications, it is of interest to cluster subjects based on ver...
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12/11/2019
Diffusion based Gaussian process regression via heat kernel reconstruction
We propose an algorithm for Gaussian Process regression on an unknown em...
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10/19/2018
Bayesian Distance Clustering
Model-based clustering is widely-used in a variety of application areas....
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12/06/2017
Targeted Random Projection for Prediction from High-Dimensional Features
We consider the problem of computationally-efficient prediction from hig...
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06/26/2017
