Research projects
Here are some of the projects members of this group work and have worked on.
Current projects
- none
Completed projects
- none
Publications
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Parallel affine transformation tuning of Markov chain Monte Carlo
Philip Schär, Michael Habeck, Daniel Rudolf
Accepted for Publication at the 41th International Conference on Machine Learning (ICML).
arXiv preprint arXiv:2401.16567
Link to Paper
Link to Source Code -
Wasserstein contraction and spectral gap of slice sampling revisited
Philip Schär
Electronic Journal of Probability 28, article 136, 2023
Link to Paper -
Dimension-independent spectral gap of polar slice sampling
Daniel Rudolf, Philip Schär
Statistics and Computing 34, article 20, 2024
Link to Paper -
A dimension-independent bound on the Wasserstein contraction rate of geodesic slice sampling on the sphere for uniform target
Philip Schär, Thilo Stier
Under review.
arXiv preprint arXiv:2309.09097
Link to Paper -
Gibbsian polar slice sampling
Philip Schär, Michael Habeck, Daniel Rudolf
Proceedings of the 40th International Conference on Machine Learning (ICML),
PMLR 202:30204-30223, 2023
Link to Paper
Link to Source Code -
Geodesic slice sampling on the sphere
Michael Habeck, Mareike Hasenpflug, Shantanu Kodgirwar, Daniel Rudolf
arXiv preprint arXiv:2301.08056, 2023
Link to Paper
Link to Source Code