30 citations · 119 across the 39 of their papers we have counts for
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Online Variational Bayes Inference for High-Dimensional Correlated Data
Sylvie Tchumtchoua, David B. Dunson, Jeffrey S. Morris
High-dimensional data with hundreds of thousands of observations are becoming commonplace in many disciplines. The analysis of such data poses many computational challenges, especi…
Efficient Gaussian Process Regression for Large Data Sets
Anjishnu Banerjee, David Dunson, Surya Tokdar
Gaussian processes (GPs) are widely used in nonparametric regression, classification and spatio-temporal modeling, motivated in part by a rich literature on theoretical properties.…
Density Estimation and Classification via Bayesian Nonparametric Learning of Affine Subspaces
Abhishek Bhattacharya, Garritt Page, David Dunson
It is now practically the norm for data to be very high dimensional in areas such as genetics, machine vision, image analysis and many others. When analyzing such data, parametric…