13 citations · 43 across the 18 of their papers we have counts for
4 papers · 1 filter
Fast methods for posterior inference of two-group normal-normal models
Philip Greengard, Jeremy Hoskins, Charles C. Margossian +2
We describe a class of algorithms for evaluating posterior moments of certain Bayesian linear regression models with a normal likelihood and a normal prior on the regression coeffi…
Efficient Fourier representations of families of Gaussian processes
Philip Greengard
We introduce a class of algorithms for constructing Fourier representations of Gaussian processes in dimension that are valid over ranges of hyperparameter values. The scaling…
Efficient reduced-rank methods for Gaussian processes with eigenfunction expansions
Philip Greengard, Michael O'Neil
In this work we introduce a reduced-rank algorithm for Gaussian process regression. Our numerical scheme converts a Gaussian process on a user-specified interval to its Karhunen-Lo…
The piranha problem: Large effects swimming in a small pond
Christopher Tosh, Philip Greengard, Ben Goodrich +3
In some scientific fields, it is common to have certain variables of interest that are of particular importance and for which there are many studies indicating a relationship with…