Code to reproduce experiments of the ICML 2022 Paper Distribution Regression with Sliced Wasserstein Kernels
ArXiv link: https://arxiv.org/abs/2202.03926. Proceeding link: https://proceedings.mlr.press/v162/meunier22b.html.
Using conda
: clone the repository, and once inside it,
execute the following bash commands
conda create -n drswk && conda activate drswk
# To run experiments
conda install pytorch scikit-learn
# To plot experiment results and use the notebooks
conda install ipympl pandas
@InProceedings{meunier2022dregr,
title = {Distribution Regression with Sliced {W}asserstein Kernels},
author = {Meunier, Dimitri and Pontil, Massimiliano and Ciliberto, Carlo},
booktitle = {Proceedings of the 39th International Conference on Machine Learning},
pages = {15501--15523},
year = {2022},
}