Paper code for Generalized Bayesian Quadrature Using Spectral Kernels, published at UAI 2022 by Houston Warren, Rafael Oliveira, and Fabio Ramos.
Currently, GBQ is not implemented in compiled package form and relies and manually loading several scripts into an environment to execute an experiment. This will be changed with future updates.
After making sure the project dependencies in Project.toml are installed, the current process to run an experiment is:
- Open a julia console.
- Run all code in
utils.jl - Run all code in
sampling.jl - Run all code in
dists.jl - Run all code in
rff.jl - Run all code in
baselines.jl - Run all code in
generalizedbq.jl - Run all code in
train.jl - Run all code of chosen experiment in
experimentsdirectory.
Note: certain experiments in the camera-ready paper are run under different package iterations, which can affect the random seeds. To appropriately reproduce results, find the associated CSV of results in the results/ folder for the experiment dimensionality (ie. 1D, 2D, ND), rewind to the commit when the CSV of results was last changed, and then run the experimental code.
To produce figures and tables used in the paper from generated data, you can run plots.jl.