Search Results for author:
Found 1 papers, 0 papers with code
Wasserstein Distributional Learning
To overcome this fundamental issue, we propose Wasserstein Distributional Learning (WDL), a flexible density-on-scalar regression modeling framework that starts with the Wasserstein distance $W_2$ as a proper metric for the space of density outcomes.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
