Generalized Variational Inference in Function Spaces: Gaussian Measures meet Bayesian Deep Learning

This is the code base for the implementation and experiments of the paper Generzlised Variational Inference in Function Spaces: Gaussian Measures meet Bayesian Deep Learning.

Name		Name	Last commit message	Last commit date
GP_baseline		GP_baseline
gwi_VI		gwi_VI
simulate_data		simulate_data
utils		utils
.gitignore		.gitignore
1D_pipeline.py		1D_pipeline.py
LICENSE		LICENSE
README.md		README.md
basic_classification_run.py		basic_classification_run.py
basic_regression_run.py		basic_regression_run.py
eigen_value_diagnosis_plots.py		eigen_value_diagnosis_plots.py
generate_job_parameters.py		generate_job_parameters.py
gwi_env.yml		gwi_env.yml
post_process_batch_jobs.py		post_process_batch_jobs.py
run_classification.sh		run_classification.sh
run_job.py		run_job.py
run_regression_krr_true.sh		run_regression_krr_true.sh
run_regression_mlp_true.sh		run_regression_mlp_true.sh
scratch.py		scratch.py
serious_run.py		serious_run.py
serious_run_jade.py		serious_run_jade.py
teaser_plot_2d.py		teaser_plot_2d.py

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