This repository contains the experiments and plots presented in the paper
Philip Schär, Michael Habeck, Daniel Rudolf
Gibbsian Polar Slice Sampling
Proceedings of the 40th International Conference on Machine Learning,
PMLR 202:30204-30223, 2023
Each experiment is contained in a separate Jupyter notebook. These notebooks contain not only the source code specific to each experiment but also a definition of the target distribution under consideration, as well as some explanations regarding the target's properties, the overall purpose of the experiment and the means by which we analyze the samplers' performances. For context regarding the samplers themselves, we refer to the paper, available on arXiv and in the conference proceedings.
Thanks to the CRC1456 LiveDocs initiative, various ways to interactively run the experiment notebooks as well as a Docker container of them are provided under the following links:
Additionally, static HTML versions of the experiment notebooks are available online: