This repository captures code developed during my PhD at the University of Bath and includes the implementation of the DP-GP-LVM model.
The underlying algorithm is based on our 2019 ICML paper:
http://proceedings.mlr.press/v97/lawrence19a.html
@InProceedings{dp_gp_lvm,
title = {{DP}-{GP}-{LVM}: A {B}ayesian {N}on-{P}arametric {M}odel for {L}earning {M}ultivariate {D}ependency {S}tructures},
author = {Lawrence, Andrew R. and Ek, Carl Henrik and Campbell, Neill D. F.},
booktitle = {Proceedings of the 36th International Conference on Machine Learning},
pages = {3682--3691},
year = {2019},
editor = {Chaudhuri, Kamalika and Salakhutdinov, Ruslan},
volume = {97},
series = {Proceedings of Machine Learning Research},
address = {Long Beach, California, USA},
month = {09--15 Jun},
publisher = {PMLR},
pdf = {http://proceedings.mlr.press/v97/lawrence19a/lawrence19a.pdf},
url = {http://proceedings.mlr.press/v97/lawrence19a.html}
}
Archive (code is provided as-is, no updates expected).