59 citations · 439 across the 69 of their papers we have counts for
Showing 2016 · stat.COShow all
2 papers · 2 filters
stat.CO2016★ 49 cited
Gaussian variational approximation with sparse precision matrices
Linda S. L. Tan, David J. Nott
We consider the problem of learning a Gaussian variational approximation to the posterior distribution for a high-dimensional parameter, where we impose sparsity in the precision m…
stat.CO2016
Flexible online multivariate regression with variational Bayes and the matrix-variate Dirichlet process
Meng Hwee Victor Ong, David J. Nott, Ajay Jasra
Flexible regression methods where interest centres on the way that the whole distribution of a response vector changes with covariates are very useful in some applications. A recen…