most citedEnabling scalable stochastic gradient-based inference for Gaussian processes by employing the Unbiased LInear System SolvEr (ULISSE)

11 citations · 11 across the 1 of their papers we have counts for

collaborators

1 paper

stat.ME2015★ 11 cited

Enabling scalable stochastic gradient-based inference for Gaussian processes by employing the Unbiased LInear System SolvEr (ULISSE)

Maurizio Filippone, Raphael Engler

In applications of Gaussian processes where quantification of uncertainty is of primary interest, it is necessary to accurately characterize the posterior distribution over covaria…